Added app files

app.py

@@ -0,0 +1,156 @@
+import gradio as gr
+import json
+import numpy as np
+import torch
+import transformers
+import tokenizers
+
+
+from model import BertAD
+
+DICTIONARY = json.load(open('model/dict.json'))
+TOKENIZER = tokenizers.BertWordPieceTokenizer(f"model/vocab.txt", lowercase=True)
+MAX_LEN = 256
+
+MODEL = BertAD()
+vec = MODEL.state_dict()['bert.embeddings.position_ids']
+chkp = torch.load(os.path.join('model', 'model_0.bin'), map_location='cpu')
+chkp['bert.embeddings.position_ids'] =vec
+MODEL.load_state_dict(chkp)
+
+
+def sample_text(text, acronym, max_len):
+    text = text.split()
+    idx = text.index(acronym)
+    left_idx = max(0, idx - max_len//2)
+    right_idx = min(len(text), idx + max_len//2)
+    sampled_text = text[left_idx:right_idx]
+    return ' '.join(sampled_text)
+
+def process_data(text, acronym, expansion, tokenizer, max_len):
+
+    text = str(text)
+    expansion = str(expansion)
+    acronym = str(acronym)
+
+    n_tokens = len(text.split())
+    if n_tokens>120:
+        text = sample_text(text, acronym, 120)
+
+    answers = acronym + ' ' + ' '.join(DICTIONARY[acronym])
+    start = answers.find(expansion)
+    end = start + len(expansion)
+
+    char_mask = [0]*len(answers)
+    for i in range(start, end):
+        char_mask[i] = 1
+
+    tok_answer = tokenizer.encode(answers)
+    answer_ids = tok_answer.ids
+    answer_offsets = tok_answer.offsets
+
+    answer_ids = answer_ids[1:-1]
+    answer_offsets = answer_offsets[1:-1]
+
+    target_idx = []
+    for i, (off1, off2) in enumerate(answer_offsets):
+        if sum(char_mask[off1:off2])>0:
+            target_idx.append(i)
+
+    start = target_idx[0]
+    end = target_idx[-1]
+
+
+    text_ids = tokenizer.encode(text).ids[1:-1]
+
+    token_ids = [101] + answer_ids + [102] + text_ids + [102]
+    offsets =   [(0,0)] + answer_offsets + [(0,0)]*(len(text_ids) + 2)
+    mask = [1] * len(token_ids)
+    token_type = [0]*(len(answer_ids) + 1) + [1]*(2+len(text_ids))
+
+    text = answers + text
+    start = start + 1
+    end = end + 1
+
+    padding = max_len - len(token_ids)
+
+
+    if padding>=0:
+        token_ids = token_ids + ([0] * padding)
+        token_type = token_type + [1] * padding
+        mask = mask + ([0] * padding)
+        offsets = offsets + ([(0, 0)] * padding)
+    else:
+        token_ids = token_ids[0:max_len]
+        token_type = token_type[0:max_len]
+        mask = mask[0:max_len]
+        offsets = offsets[0:max_len]
+
+
+    assert len(token_ids)==max_len
+    assert len(mask)==max_len
+    assert len(offsets)==max_len
+    assert len(token_type)==max_len
+
+    return {
+            'ids': token_ids,
+            'mask': mask,
+            'token_type': token_type,
+            'offset': offsets,
+            'start': start,
+            'end': end,  
+            'text': text,
+            'expansion': expansion,
+            'acronym': acronym,
+        }
+
+
+def jaccard(str1, str2): 
+    a = set(str1.lower().split()) 
+    b = set(str2.lower().split())
+    c = a.intersection(b)
+    return float(len(c)) / (len(a) + len(b) - len(c))
+
+def evaluate_jaccard(text, selected_text, acronym, offsets, idx_start, idx_end):
+    filtered_output = ""
+    for ix in range(idx_start, idx_end + 1):
+        filtered_output += text[offsets[ix][0]: offsets[ix][1]]
+        if (ix+1) < len(offsets) and offsets[ix][1] < offsets[ix+1][0]:
+            filtered_output += " "
+
+    candidates = DICTIONARY[acronym]
+    candidate_jaccards = [jaccard(w.strip(), filtered_output.strip()) for w in candidates]
+    idx = np.argmax(candidate_jaccards)
+
+    return candidate_jaccards[idx], candidates[idx]
+
+
+
+def disambiguate(text, acronym):
+    
+    inputs = process_data(text, acronym, acronym, TOKENIZER, MAX_LEN)
+    ids = torch.tensor(input['ids']).view(1, -1)
+    mask = torch.tensor(inputs['mask']).view(1, -1)
+    token_type = torch.tensor(inputs['token_type']).view(1, -1)
+    offsets = inputs['offset']
+    expansion = inputs['expnsion']
+    acronym = inputs['acronym']
+
+    start_logits, end_logits = MODEL(ids, mask, token_type)
+
+    start_prob = torch.softmax(start_logits, axis=-1).detach().numpy()
+    end_prob = torch.softmax(end_logits, axis=-1).detach().numpy()
+    
+    
+    start_idx = np.argmax(start_prob[0,:])
+    end_idx = np.argmax(end_prob[0,:])
+
+    js, exp = evaluate_jaccard(text, expansion[0], acronym[0], offsets[0], start_idx, end_idx)
+    return exp
+
+text = gr.inputs.Textbox(lines=5, label="Context", placeholder="Type a sentence or paragraph here."), 
+acronym = gr.inputs.Textbox(lines=2, label="Question", placeholder="Type acronym")
+expansion = gr.outputs.Textbox(label="Answer")
+
+iface = gr.Interface(fn=disambiguate, inputs=[text, acronym], outputs=expansion)
+iface.launch()

model.py

@@ -0,0 +1,25 @@
+import torch
+import torch.nn as nn
+import transformers
+
+class BertAD(nn.Module):
+  def __init__(self):
+    super(BertAD, self).__init__()
+    self.bert = transformers.BertModel.from_pretrained('model', output_hidden_states=True)
+    self.layer = nn.Linear(768, 2)
+    
+
+  def forward(self, ids, mask, token_type):
+    output = self.bert(input_ids = ids,
+                       attention_mask = mask,
+                       token_type_ids = token_type)
+    
+    logits = self.layer(output[0]) 
+    start_logits, end_logits = logits.split(1, dim=-1)
+    
+    start_logits = start_logits.squeeze(-1)
+    end_logits = end_logits.squeeze(-1)
+
+    
+
+    return start_logits, end_logits

model/config.json

@@ -0,0 +1,21 @@
+{
+    "architectures": [
+      "BertModel"
+    ],
+    "attention_probs_dropout_prob": 0.1,
+    "gradient_checkpointing": false,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.1,
+    "hidden_size": 768,
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "layer_norm_eps": 1e-12,
+    "max_position_embeddings": 512,
+    "model_type": "bert",
+    "num_attention_heads": 12,
+    "num_hidden_layers": 12,
+    "pad_token_id": 0,
+    "type_vocab_size": 2,
+    "vocab_size": 31090
+  }
+  

model/dict.json

@@ -0,0 +1,3774 @@
+{
+    "MDC": [
+      "metering data collector",
+      "mobile data challenge",
+      "multiple description coding"
+    ],
+    "SVM": [
+      "support vector machine",
+      "state vector machine"
+    ],
+    "MER": [
+      "maximum entropy regularizer",
+      "music emotion research",
+      "music emotion recognition"
+    ],
+    "SVC": [
+      "support vector classifier",
+      "scalable video coding"
+    ],
+    "CNN": [
+      "convolutional neural network",
+      "condensed nearest neighbor",
+      "complicated neural networks",
+      "citation nearest neighbour"
+    ],
+    "FEC": [
+      "forward error correction",
+      "federal election candidate"
+    ],
+    "FSM": [
+      "finite state machine",
+      "fast sweeping method"
+    ],
+    "LDA": [
+      "latent dirichlet allocation",
+      "linear discriminant analysis"
+    ],
+    "FR": [
+      "frame recall",
+      "faster r - cnn",
+      "fooling rate"
+    ],
+    "TF": [
+      "term frequency",
+      "trend filtering",
+      "tensor factorization",
+      "transcription factor"
+    ],
+    "SS": [
+      "speech synthesis",
+      "single stage",
+      "stochastic search",
+      "social status",
+      "spectrum sensing",
+      "severe sepsis",
+      "scheduled sampling",
+      "secondary structure",
+      "simple sum"
+    ],
+    "GPS": [
+      "global positioning system",
+      "general pattern search",
+      "generalized propensity score"
+    ],
+    "PCA": [
+      "principal component analysis",
+      "posterior cortical atrophy"
+    ],
+    "MSE": [
+      "mean squared error",
+      "model selection eqn",
+      "minimum square error"
+    ],
+    "ILP": [
+      "inductive logic programming",
+      "integer linear programming"
+    ],
+    "MTI": [
+      "mixture time invariant",
+      "medical text indexer"
+    ],
+    "SNN": [
+      "siamese neural network",
+      "spiking neural networks"
+    ],
+    "SOP": [
+      "sentence order prediction",
+      "secrecy outage probability"
+    ],
+    "SVD": [
+      "singular value decomposition",
+      "singing voice detection"
+    ],
+    "CD": [
+      "cosine distance",
+      "contrastive divergence",
+      "consecutive disks",
+      "critical difference",
+      "chamfer distance",
+      "contact distance",
+      "cover difference",
+      "chemical diagram",
+      "crohn 's disease"
+    ],
+    "OCR": [
+      "optical character recognition",
+      "one - to - one character replacements"
+    ],
+    "MRC": [
+      "machine reading comprehension",
+      "maximal ratio combining",
+      "magnetic resonance coupling"
+    ],
+    "SAP": [
+      "stable abstraction principle",
+      "simple amplitude presitortion"
+    ],
+    "DPP": [
+      "determinantal point process",
+      "disjoint paths problem"
+    ],
+    "QRF": [
+      "quantile random forest",
+      "quantile regression forest"
+    ],
+    "GCM": [
+      "google cloud messaging",
+      "generalized cell - to - cell mapping",
+      "general circulation model",
+      "galois / counter mode",
+      "global circulation model"
+    ],
+    "PPP": [
+      "poisson point process",
+      "palm point process"
+    ],
+    "FCN": [
+      "fully convolutional neural network",
+      "fully connected network"
+    ],
+    "RNN": [
+      "recurrent neural network",
+      "random neural networks",
+      "recursive neural network",
+      "reverse nearest neighbour"
+    ],
+    "ML": [
+      "machine learning",
+      "maximum likelihood",
+      "model logic",
+      "malware landscape",
+      "mortar luminance"
+    ],
+    "BC": [
+      "bandwidth constraint",
+      "betweenness centrality",
+      "between class",
+      "broadcast channel",
+      "blockchain"
+    ],
+    "BN": [
+      "bayesian network",
+      "batch normalization"
+    ],
+    "TC": [
+      "telephone conversations",
+      "town crier",
+      "tumor core",
+      "time - continuous",
+      "target country",
+      "total cover",
+      "traffic class",
+      "total correlation"
+    ],
+    "TS": [
+      "tree structures",
+      "terminal stance",
+      "temperature scaling",
+      "temperature - based sampling",
+      "tabu search",
+      "thompson sampling",
+      "time series",
+      "time switching",
+      "target syntactic",
+      "text summarization",
+      "triadic simmelian",
+      "tessellation shader"
+    ],
+    "HPC": [
+      "high performance computing",
+      "hardware performance counters"
+    ],
+    "OSS": [
+      "orthogonal spectrum sharing",
+      "open source software"
+    ],
+    "MAD": [
+      "median absolute difference",
+      "median absolute deviations",
+      "map attention decision"
+    ],
+    "POS": [
+      "partial optimal slacking",
+      "part of speech"
+    ],
+    "SSD": [
+      "solid state disk",
+      "single shot detection"
+    ],
+    "FA": [
+      "feature alignment",
+      "fractional anisotropy",
+      "feedback alignment",
+      "failure analysis",
+      "firefly algorithm",
+      "false alarm",
+      "fault attack"
+    ],
+    "GPA": [
+      "gaussian process adaptation",
+      "generalized procrustes analysis",
+      "graph partition algorithm"
+    ],
+    "APS": [
+      "adaptive patch selection",
+      "adaptive patch search",
+      "american physical society",
+      "augmented path schema"
+    ],
+    "FEM": [
+      "finite element method",
+      "finite element methodgm97"
+    ],
+    "CT": [
+      "computed tomography",
+      "constraint theory",
+      "contributor trust",
+      "conditional training",
+      "crowd trust",
+      "confidential transactions",
+      "coordinated turn",
+      "class table"
+    ],
+    "CAD": [
+      "coronary artery disease",
+      "computer aided design",
+      "computer aided diagnosis"
+    ],
+    "IR": [
+      "imbalance ratio",
+      "individual rationality",
+      "information retrieval",
+      "interference range",
+      "immediate regret",
+      "influence rank",
+      "influence ratio",
+      "integrates results",
+      "incremental relaying",
+      "image resolution",
+      "inactive region"
+    ],
+    "SMT": [
+      "satisfiability modulo theory",
+      "statistical machine translation",
+      "semantic mask transfer"
+    ],
+    "ER": [
+      "entity relationship",
+      "error rate",
+      "erdos - renyi",
+      "experience replay",
+      "estrogen receptor",
+      "entity recognition",
+      "encoder rnn"
+    ],
+    "JCR": [
+      "journal citation report",
+      "jointly convex representation"
+    ],
+    "STBM": [
+      "stochastic topic block model",
+      "stochastic tensor block model"
+    ],
+    "EC": [
+      "evolutionary computation",
+      "equivalence class",
+      "eigenvector centrality",
+      "effective concentration",
+      "empty categories",
+      "emergent configuration"
+    ],
+    "UE": [
+      "user equilibrium",
+      "unreal engine",
+      "user equipment"
+    ],
+    "ODE": [
+      "o - d demand estimation",
+      "ordinary differential equation"
+    ],
+    "VI": [
+      "vector initialization",
+      "variable importance",
+      "variational inference",
+      "variational information",
+      "vegetation indices"
+    ],
+    "RI": [
+      "random indexing",
+      "rand index"
+    ],
+    "DM": [
+      "distribution matching",
+      "discovery of models",
+      "dialog management",
+      "directional modulation",
+      "data management"
+    ],
+    "ASE": [
+      "amplified spontaneous emission",
+      "average scale error"
+    ],
+    "AIR": [
+      "achievable information rates",
+      "application instance role"
+    ],
+    "TL": [
+      "tracking logic",
+      "transfer learning"
+    ],
+    "RTS": [
+      "request to send",
+      "real time strategy"
+    ],
+    "MAC": [
+      "medium access control",
+      "multiple access channels",
+      "mandatory access control",
+      "message authentication code",
+      "metropolitan airports commission",
+      "multiply accumulate",
+      "multiple access control"
+    ],
+    "DCF": [
+      "distributed coordination function",
+      "discriminative correlation filter"
+    ],
+    "GK": [
+      "graphlet kernel",
+      "greedy knapsack"
+    ],
+    "DCNN": [
+      "deep convolutional neural network",
+      "dynamic convolutional neural network"
+    ],
+    "PSD": [
+      "power spectral density",
+      "phase shift difference"
+    ],
+    "CA": [
+      "corresponding arcs",
+      "current account",
+      "contention adaptions",
+      "combinatorial auction",
+      "cumulative activation",
+      "cellular automata",
+      "coordinate ascent",
+      "classification accuracy",
+      "context adaptation",
+      "cardiac amyloidosis",
+      "contextual attention",
+      "conversational analysis",
+      "certificate authority",
+      "community animator",
+      "conditioning augmentation",
+      "character - level accuracy",
+      "coded aperture"
+    ],
+    "ICP": [
+      "iterative closest point",
+      "inductive conformal prediction",
+      "iterative cache placement"
+    ],
+    "MAE": [
+      "mean absolute error",
+      "maximum absolute error",
+      "mean average error"
+    ],
+    "RL": [
+      "reinforcement learning",
+      "representation learning",
+      "robot learning",
+      "relative location",
+      "restrained lloyd",
+      "resource limitations",
+      "robust locomotion"
+    ],
+    "CRF": [
+      "conditional random field",
+      "constant rate factor",
+      "correlation robust function"
+    ],
+    "NP": [
+      "noun phrase",
+      "non - emptiness problem",
+      "neural pooling",
+      "no peepholes",
+      "natural problem",
+      "new persian",
+      "neural processes"
+    ],
+    "DSL": [
+      "domain - specific language",
+      "distributed spectrum ledger"
+    ],
+    "CV": [
+      "cross validation",
+      "constant velocity",
+      "computer vision",
+      "crowd votes"
+    ],
+    "OT": [
+      "oblivious transfer",
+      "optimal transport",
+      "orthogonal training",
+      "optimality theory"
+    ],
+    "MPC": [
+      "multi - party computation",
+      "model predictive control",
+      "massively parallel computation"
+    ],
+    "AC": [
+      "audio commons",
+      "attack criteria",
+      "auto - correlation",
+      "actor - critic",
+      "atrous convolution",
+      "access category",
+      "autonomic computing",
+      "activation clustering",
+      "admission control",
+      "alternating current",
+      "access categories",
+      "avoid congestion"
+    ],
+    "AA": [
+      "astronomy and astrophysics",
+      "authorship attribution",
+      "affine arithmetic",
+      "adamic adar"
+    ],
+    "TI": [
+      "temporal interactions",
+      "threshold initialization",
+      "tone injection",
+      "temporal information"
+    ],
+    "CIA": [
+      "confidentiality , integrity , and availability",
+      "central intelligence agency"
+    ],
+    "PR": [
+      "preimage resistant",
+      "preference ratio",
+      "patient record",
+      "pilot reuse",
+      "precision - recall",
+      "perfect reconstruction",
+      "passage retrieval",
+      "pagerank",
+      "perfectly reconstructible"
+    ],
+    "CR": [
+      "collision resistant",
+      "cognitive radio",
+      "communication region",
+      "containment relations",
+      "collective rationality",
+      "coreference resolution",
+      "code rate",
+      "carriage returns",
+      "contention resolution"
+    ],
+    "IF": [
+      "interference factor",
+      "instantaneous frequency",
+      "intermediate frequency",
+      "isolation forest"
+    ],
+    "SPA": [
+      "simple power analysis",
+      "saturation peak analysis",
+      "spatial preferential attachment"
+    ],
+    "SM": [
+      "scalar multiplication",
+      "spatial modulation",
+      "scattering modulation",
+      "streaming multiprocessors",
+      "synthesis module",
+      "stream multiprocessor",
+      "speaker model",
+      "supplementary material",
+      "spectral matching",
+      "social media",
+      "single service manager",
+      "service manager",
+      "shared memory",
+      "state machine",
+      "system model"
+    ],
+    "PM": [
+      "point multiplication",
+      "polarization - multiplexed",
+      "probabilistic model",
+      "physical machines",
+      "prediction model"
+    ],
+    "RPC": [
+      "randomized projective coordinate",
+      "remote procedure calls"
+    ],
+    "FPM": [
+      "fixed point multiplication",
+      "face prediction model"
+    ],
+    "MPI": [
+      "message passing interface",
+      "multiple parallel instances"
+    ],
+    "GA": [
+      "global arrays",
+      "genetic algorithm",
+      "graduated assignment"
+    ],
+    "LSU": [
+      "louisiana state university",
+      "load - store unit"
+    ],
+    "PSC": [
+      "pittsburgh supercomputing center",
+      "partial set cover",
+      "paper sentence classification"
+    ],
+    "MT": [
+      "machine translation",
+      "merkle tree"
+    ],
+    "CS": [
+      "computer systems",
+      "computer science",
+      "clonal selection",
+      "connection size",
+      "computational science",
+      "centralized solution",
+      "compressive sensing",
+      "core semantics",
+      "coordinated scheduling",
+      "charging station",
+      "constraint solver",
+      "conventional sparsity",
+      "compressed sensing",
+      "critical section",
+      "common subset",
+      "content store",
+      "case - sensitive",
+      "consensus score",
+      "code - switching",
+      "cluster - specific"
+    ],
+    "LOS": [
+      "length of stay",
+      "line of sight"
+    ],
+    "RF": [
+      "random forest",
+      "radio frequency",
+      "regression function",
+      "regression forest",
+      "register file"
+    ],
+    "HS": [
+      "hourly - similarity",
+      "horn and schunck",
+      "hierarchical softmax"
+    ],
+    "VSM": [
+      "vector space model",
+      "vacationing server model"
+    ],
+    "CC": [
+      "charging current",
+      "corpus callosum",
+      "collision cone",
+      "cross - correlation",
+      "creative commons",
+      "central cloud",
+      "classifier chain",
+      "closeness centrality",
+      "constant charging",
+      "cover complexity",
+      "connected caveman",
+      "constant current",
+      "collaboration coefficient",
+      "covert channels",
+      "correlation constraints",
+      "core connected"
+    ],
+    "DBN": [
+      "deep belief network",
+      "dynamic bayesian network",
+      "directed belief net"
+    ],
+    "DR": [
+      "dimension reduction",
+      "demand response",
+      "diagnosis record",
+      "detecting repetitions",
+      "dispersion reduction",
+      "digit reversal",
+      "differential rectifier",
+      "dimensionality reduction",
+      "document retrieval",
+      "decoder rnn"
+    ],
+    "EM": [
+      "expectation maximization",
+      "exact match",
+      "electron microscopy"
+    ],
+    "FS": [
+      "feature selection",
+      "frame semantic",
+      "fraudulent services",
+      "fully sampled",
+      "fragment shader"
+    ],
+    "MA": [
+      "moving average",
+      "multiple assignment",
+      "merlin - arthur",
+      "mobile agent"
+    ],
+    "PSO": [
+      "particle swarm optimization",
+      "power system operations"
+    ],
+    "ABC": [
+      "artificial bee colony",
+      "absorbing boundary condition"
+    ],
+    "MP": [
+      "message passing",
+      "matching pursuit",
+      "most popular",
+      "max pooling",
+      "mean precision",
+      "mask pyramid"
+    ],
+    "BM": [
+      "bare metal",
+      "black males"
+    ],
+    "VM": [
+      "virtual machine",
+      "visual module",
+      "von mises"
+    ],
+    "BEA": [
+      "building educational applications",
+      "bond energy algorithm"
+    ],
+    "MMD": [
+      "maximum mean discrepancy",
+      "minimizes marginal distribution"
+    ],
+    "FC": [
+      "fully connected",
+      "fusion center",
+      "fixed confidence",
+      "filter controls",
+      "frame content",
+      "fashion compatibility",
+      "fiscal code"
+    ],
+    "FP": [
+      "function processor",
+      "false positive",
+      "frequency partitioning",
+      "floating point",
+      "failure prediction",
+      "fixed point"
+    ],
+    "SDR": [
+      "software defined radio",
+      "semidefine relaxation",
+      "structured domain randomization"
+    ],
+    "BO": [
+      "backoff",
+      "bayesian optimisation"
+    ],
+    "EL": [
+      "euler - lagrange",
+      "entity linking",
+      "edge length",
+      "episode length",
+      "external links"
+    ],
+    "LSB": [
+      "least squares boosting",
+      "least significant bit"
+    ],
+    "FIM": [
+      "fisher information matrix",
+      "fragment identifier messaging",
+      "fast iterative method"
+    ],
+    "DF": [
+      "direction facilities",
+      "dominating frequencies"
+    ],
+    "ACL": [
+      "agent communication language",
+      "access control list"
+    ],
+    "ARC": [
+      "australian research council",
+      "adaptive - robust control"
+    ],
+    "SAR": [
+      "synthetic aperture radar",
+      "socially assistive robots",
+      "search and rescue",
+      "sensing application recently"
+    ],
+    "OSI": [
+      "open systems interconnection",
+      "open source initiative"
+    ],
+    "RLC": [
+      "random linear coding",
+      "radio link control"
+    ],
+    "RS": [
+      "running sum",
+      "residual splash",
+      "rate - selective",
+      "relay station",
+      "random search",
+      "remote sensing",
+      "recommender systems",
+      "rate splitting",
+      "randomly sampled",
+      "random split",
+      "rate saturation",
+      "real satellite"
+    ],
+    "NN": [
+      "neural network",
+      "nearest neighbor"
+    ],
+    "NB": [
+      "negative binomial",
+      "naive bayes",
+      "new brunswick"
+    ],
+    "HOS": [
+      "higher - order spectra",
+      "higher order statistics"
+    ],
+    "SA": [
+      "structural accuracy",
+      "single architecture",
+      "stacked autoencoders",
+      "simulated annealing",
+      "signal analysis",
+      "sensitivity analysis",
+      "strongly adaptive",
+      "sensing antennas",
+      "significance and accuracy",
+      "satisfies aass",
+      "situational awareness",
+      "subspace alignment",
+      "steepest ascent",
+      "scores anatomical",
+      "string analysis"
+    ],
+    "EI": [
+      "expected improvement",
+      "epidemic intelligence",
+      "event interaction"
+    ],
+    "MCC": [
+      "matthews correlation coefficient",
+      "minimum coefficient correlation",
+      "mobile cloud computing",
+      "mesoscale cellular convection",
+      "maximal connected component"
+    ],
+    "ROC": [
+      "receiver operating characteristic",
+      "restricted orthogonal constants"
+    ],
+    "NBC": [
+      "naive bayes classifier",
+      "non - parametric bayesian classification"
+    ],
+    "SK": [
+      "string kernel",
+      "septic shock"
+    ],
+    "MTL": [
+      "medial temporal lobe",
+      "multi - task learning"
+    ],
+    "IL": [
+      "imitation learning",
+      "intermediate level"
+    ],
+    "DMP": [
+      "dynamic movement primitives",
+      "digital motion processor"
+    ],
+    "GCP": [
+      "graph compression problem",
+      "grid connection point"
+    ],
+    "IP": [
+      "intellectual property",
+      "internet protocol",
+      "inductive programming",
+      "inverse proportion",
+      "intercept probability",
+      "image preprocessing",
+      "integer programming"
+    ],
+    "TLS": [
+      "transport layer security",
+      "terrestrial laser scanning"
+    ],
+    "PAD": [
+      "probe attempt detector",
+      "presentation attack detection"
+    ],
+    "ASM": [
+      "active shape model",
+      "alphabet set multiplier"
+    ],
+    "DMD": [
+      "dynamic mirror descent",
+      "digital micro - mirror device",
+      "deficient mapping dissolution"
+    ],
+    "EMA": [
+      "exponential moving average",
+      "ecological momentary assessment"
+    ],
+    "MAPE": [
+      "mean absolute percentage error",
+      "mean average percent error"
+    ],
+    "MAP": [
+      "maximum a posteriori",
+      "mean average precision"
+    ],
+    "DN": [
+      "distinguished name",
+      "destination node"
+    ],
+    "PCC": [
+      "pre - activation convolutional cell(the",
+      "pearson correlation coefficient"
+    ],
+    "AL": [
+      "adversarial loss",
+      "active learning"
+    ],
+    "US": [
+      "ultrasound",
+      "united states",
+      "uncertainty sampling"
+    ],
+    "MR": [
+      "magnetic resonance",
+      "minimum read",
+      "majority rule",
+      "model risk",
+      "middle resolution",
+      "mean recall",
+      "machine reading",
+      "meaning representation",
+      "morphological richness",
+      "mixed reality"
+    ],
+    "HR": [
+      "high - resolution",
+      "heart rate"
+    ],
+    "IS": [
+      "inception score",
+      "importance sampling",
+      "information systems"
+    ],
+    "LDP": [
+      "large deviation principle",
+      "low degeneracy partition",
+      "local differential privacy"
+    ],
+    "ACE": [
+      "average causal effect",
+      "advanced combined encoder",
+      "average coverage error"
+    ],
+    "OPS": [
+      "orthogonal pilot sequences",
+      "one posterior sample"
+    ],
+    "MDS": [
+      "maximum distance separable",
+      "minimum dominating set",
+      "multi - dimensional scaling"
+    ],
+    "IPS": [
+      "intrusion prevention system",
+      "inverse propensity scaling",
+      "interactive proof systems"
+    ],
+    "BMS": [
+      "building management system",
+      "battery management system"
+    ],
+    "PP": [
+      "prepositional phrase",
+      "point process",
+      "pairwise product",
+      "pairwise perturbation",
+      "privacy preferences",
+      "present and predominant"
+    ],
+    "PF": [
+      "particle filter",
+      "pareto - fair",
+      "propagation fusion",
+      "power flow",
+      "poloidal field"
+    ],
+    "NF": [
+      "naive fusion",
+      "noise figure",
+      "new foundations"
+    ],
+    "TAM": [
+      "technology acceptance model",
+      "transparent attention model"
+    ],
+    "DFT": [
+      "density functional theory",
+      "discrete fourier transformation",
+      "disk failure tolerant",
+      "design - for - test"
+    ],
+    "CKD": [
+      "conditional kernel density",
+      "child key derivation",
+      "chronic kidney disease"
+    ],
+    "AR": [
+      "auto - regression",
+      "average recall",
+      "anaphora resolution",
+      "augmented reality",
+      "accumulated reward"
+    ],
+    "CSPs": [
+      "cloud service providers",
+      "constraint satisfaction problems"
+    ],
+    "CAP": [
+      "consistency availability partition",
+      "cumulative accuracy profit",
+      "carrier - less amplitude and phase"
+    ],
+    "DSM": [
+      "data store module",
+      "data stream manager",
+      "demand side management",
+      "distributional semantic model",
+      "digital surface model"
+    ],
+    "CAS": [
+      "content addressed storage",
+      "computer algebra systems",
+      "consensus attention sum"
+    ],
+    "PD": [
+      "progressive disease",
+      "prisoner 's dilemma",
+      "pu - primary destination",
+      "positive definite",
+      "parkinson 's disease",
+      "pixel discussion"
+    ],
+    "PPMI": [
+      "parkinson 's progression markers initiative",
+      "positive pointwise mutual information"
+    ],
+    "EHRs": [
+      "electronic health records",
+      "energy harvesting receivers"
+    ],
+    "LCP": [
+      "linear complementarity problem",
+      "locally compact polish",
+      "longest common prefix",
+      "linearly compressed page"
+    ],
+    "SD": [
+      "strong dominance",
+      "secure digital",
+      "standard deviation",
+      "strategic dependency",
+      "soft decision",
+      "symbolic differentiation",
+      "sphere decoding",
+      "selection diversity",
+      "stochastically dominate",
+      "structural diagram"
+    ],
+    "GVF": [
+      "generalized value function",
+      "gradient vector flow"
+    ],
+    "ASA": [
+      "adaptive segmentation algorithm",
+      "accessible surface area"
+    ],
+    "GMM": [
+      "gaussian mixture model",
+      "group marching method"
+    ],
+    "MD": [
+      "molecular dynamics",
+      "morphological disambiguation",
+      "mixed decoding",
+      "model distillation",
+      "memoryless deterministic",
+      "mean diffusivity",
+      "massa de dados",
+      "multiple description",
+      "missed detection"
+    ],
+    "LP": [
+      "linear programming",
+      "label powerset",
+      "label propagation"
+    ],
+    "CPM": [
+      "critical path method",
+      "competition performance metric",
+      "completely positive maps",
+      "clique percolation method",
+      "continuous profile model",
+      "cost per mille"
+    ],
+    "HD": [
+      "hausdorff distance",
+      "high definition",
+      "hard decision",
+      "harmonic distortion",
+      "huntington 's disease"
+    ],
+    "LD": [
+      "levenshtein distance",
+      "line difference",
+      "loads data",
+      "large deviation",
+      "link density"
+    ],
+    "ST": [
+      "stomach",
+      "split - turnip",
+      "sleep telemetry",
+      "semantic tagging",
+      "single trails",
+      "smart thermostat",
+      "steiner tree"
+    ],
+    "RK": [
+      "right kidney",
+      "root key"
+    ],
+    "RDM": [
+      "russian dolls model",
+      "representational dissimilarity matrix"
+    ],
+    "NEB": [
+      "nudged elastic band",
+      "next event backtracking"
+    ],
+    "CF": [
+      "collaborative filtering",
+      "crest factor",
+      "code - mixed factor",
+      "complexity factor",
+      "correlation filter"
+    ],
+    "CTR": [
+      "click through rates",
+      "collaborative topic regression",
+      "character transfer rate"
+    ],
+    "MF": [
+      "matrix factorization",
+      "model fair",
+      "membership function",
+      "model - free"
+    ],
+    "ET": [
+      "energy transmitters",
+      "evidence theory",
+      "enhancing tumor",
+      "elastic transformations",
+      "emission tomography"
+    ],
+    "ANN": [
+      "approximate nearest neighbor",
+      "artificial neural network"
+    ],
+    "AI": [
+      "artificial intelligence",
+      "article influence"
+    ],
+    "DPI": [
+      "deep packet inspection",
+      "data processing inequality"
+    ],
+    "LR": [
+      "logistic regression",
+      "learning rate",
+      "linear regression",
+      "low resolution",
+      "lp relaxation",
+      "low rank"
+    ],
+    "TPR": [
+      "true positive rate",
+      "tensor product representation"
+    ],
+    "RR": [
+      "round robin",
+      "recurrent refinement",
+      "relevance rate",
+      "relative ranking",
+      "reverse reachable"
+    ],
+    "LM": [
+      "language model",
+      "logarithmically scaled magnitude",
+      "lagrange multiplier method",
+      "levenberg macquardt"
+    ],
+    "OS": [
+      "overlap success",
+      "output stride",
+      "orientation score",
+      "operating system"
+    ],
+    "SRC": [
+      "sdn ran controller",
+      "spearsman 's rank correlation",
+      "sparse representation classification"
+    ],
+    "LTE": [
+      "long term evolution",
+      "language transmission engine"
+    ],
+    "HN": [
+      "heterogeneous network",
+      "hierarchical network"
+    ],
+    "PI": [
+      "prediction intervals",
+      "provider independent",
+      "power iteration",
+      "purchase intention"
+    ],
+    "PNN": [
+      "probabilistic neural network",
+      "product - based neural network",
+      "progressive neural networks"
+    ],
+    "RDF": [
+      "resource description framework",
+      "rate distortion function",
+      "random decision forests"
+    ],
+    "GDP": [
+      "gross domestic product",
+      "generalized differential privacy",
+      "good distribution practice"
+    ],
+    "SO": [
+      "smart object",
+      "stack overflow",
+      "surrogate outcomes"
+    ],
+    "SMP": [
+      "security management provider",
+      "symmetric multi processor",
+      "stable marriage problem"
+    ],
+    "DC": [
+      "distributed control",
+      "dublin core",
+      "direct current",
+      "dual connectivity",
+      "disorder constraints",
+      "disconnected components",
+      "direct click",
+      "descriptive complexity",
+      "data consistency",
+      "datacenter",
+      "dice coefficient",
+      "deep convolutional",
+      "deficit counter",
+      "dynamic cluster"
+    ],
+    "ADP": [
+      "approximate dynamic programming",
+      "absolute derivative privacy"
+    ],
+    "ES": [
+      "energy storage",
+      "end systolic",
+      "evolutionary strategies",
+      "encrypted sharing",
+      "event synchronization",
+      "enterprise storage",
+      "entropy search",
+      "elevation angle spread",
+      "exhaustive search",
+      "external search",
+      "embedding weight sharing"
+    ],
+    "TR": [
+      "temporal resolution",
+      "tone reservation"
+    ],
+    "AOD": [
+      "average outage duration",
+      "angle opening distance"
+    ],
+    "AM": [
+      "arithmetic mean",
+      "activation maximization",
+      "alternating minimization"
+    ],
+    "QP": [
+      "quadratic programming",
+      "quantum pareto",
+      "quantisation parameter"
+    ],
+    "TCP": [
+      "test case prioritization",
+      "top concept 's popularity",
+      "transductive conformal prediction",
+      "transmission control protocol"
+    ],
+    "SDD": [
+      "stanford drone dataset",
+      "standard desktop display"
+    ],
+    "VAT": [
+      "virtual adversarial training",
+      "visceral adipose tissue"
+    ],
+    "GP": [
+      "gaussian process",
+      "geometric programming"
+    ],
+    "SAD": [
+      "spectral angle distance",
+      "speech activity detection"
+    ],
+    "OI": [
+      "original images",
+      "operational intensity"
+    ],
+    "SR": [
+      "stacked refinement",
+      "secrecy rate",
+      "segment representation",
+      "spatial resolution",
+      "success rate",
+      "super resolution",
+      "speech recognition",
+      "small resolution",
+      "strategic rationale",
+      "systematic review"
+    ],
+    "SSA": [
+      "space situational awareness",
+      "static single assignment"
+    ],
+    "SPL": [
+      "sound pressure level",
+      "shortest path length",
+      "standard plane location"
+    ],
+    "TP": [
+      "true positives",
+      "temporal pooler"
+    ],
+    "FN": [
+      "false negatives",
+      "focusing network"
+    ],
+    "TN": [
+      "true negative",
+      "total noise"
+    ],
+    "AP": [
+      "average precision",
+      "access point",
+      "asymptotic preserving",
+      "associated press",
+      "acute pancreatitis",
+      "access part",
+      "affinity propagation"
+    ],
+    "DE": [
+      "dimension estimation",
+      "differential evolution",
+      "dataexplorer",
+      "deterministic equivalent",
+      "data efficiency"
+    ],
+    "PAM": [
+      "partitioning around medoid",
+      "passive acoustic monitoring",
+      "pulse amplitude modulation"
+    ],
+    "MGM": [
+      "markov geographic model",
+      "manifold geometry matching"
+    ],
+    "ASR": [
+      "automatic speech recognition",
+      "average sum rate"
+    ],
+    "DL": [
+      "description length",
+      "deep learning",
+      "dice loss",
+      "description logics",
+      "downlink",
+      "distributed ledger",
+      "depth loss",
+      "dogleg"
+    ],
+    "CFG": [
+      "context free grammar",
+      "control flow graph"
+    ],
+    "CP": [
+      "constraint programming",
+      "cyclic prefic",
+      "clustered placement",
+      "central processor",
+      "canonical polyadic",
+      "completely positive",
+      "constraint problem",
+      "control program",
+      "candecomp / parafac",
+      "conformal prediction",
+      "core periphery"
+    ],
+    "LS": [
+      "local search",
+      "least squares",
+      "logarithmically spaced",
+      "linear systemswe",
+      "location service"
+    ],
+    "DP": [
+      "dynamic programming",
+      "distance precision",
+      "declustered placement",
+      "dirichlet process",
+      "drift - plus penalty",
+      "dropped pronoun",
+      "direct proportion",
+      "differential privacy",
+      "disjunctive programming",
+      "dronemap planner"
+    ],
+    "CLP": [
+      "convergence layer protocol",
+      "coin - or linear program solver"
+    ],
+    "SAC": [
+      "special airworthiness certificate",
+      "soft actor critic"
+    ],
+    "HAP": [
+      "high altitude platform",
+      "hybrid access point"
+    ],
+    "MSC": [
+      "multi - layer same - resolution compressed",
+      "mobile switching center"
+    ],
+    "CRM": [
+      "channel reliability measurement",
+      "counterfactual risk minimization"
+    ],
+    "LDOF": [
+      "large displacement optical flow",
+      "local distance - based outlier factor"
+    ],
+    "BA": [
+      "black and anandan",
+      "binary agreement",
+      "barabasi albert",
+      "bundle adjustment",
+      "balanced accuracy",
+      "bee algorithm"
+    ],
+    "MS": [
+      "modelling simulation",
+      "multiple sclerosis",
+      "mean shift",
+      "missed speech",
+      "main - sequence",
+      "mid stance",
+      "mobile station",
+      "medical sentiment"
+    ],
+    "SDP": [
+      "shortest dependency path",
+      "semi - definite programming",
+      "stable dependencies principle"
+    ],
+    "LMF": [
+      "low - rank multimodal fusion",
+      "lower membership function"
+    ],
+    "GAP": [
+      "global average pooling",
+      "generative adversarial perturbations",
+      "generalized assignment problem",
+      "global average precision"
+    ],
+    "BPM": [
+      "beat per minute",
+      "business process modelling"
+    ],
+    "BD": [
+      "bias disparities",
+      "bjontegaard delta",
+      "block diagonalization",
+      "benders decomposition"
+    ],
+    "QA": [
+      "question answering",
+      "quantum annealing"
+    ],
+    "CCC": [
+      "concordance correlation coefficient",
+      "congruence coefficient correlation"
+    ],
+    "RC": [
+      "rich club",
+      "radon consistency",
+      "reading comprehension",
+      "relation classification",
+      "remote control",
+      "resource control",
+      "recurrent convolution",
+      "radio control",
+      "rate constrained",
+      "red clump",
+      "reservoir computing"
+    ],
+    "CI": [
+      "current iteration",
+      "confidence intervals",
+      "constructive interference",
+      "class imbalance",
+      "conditional independence",
+      "current instruction",
+      "cochlear implant",
+      "continuous integration",
+      "computational intelligence"
+    ],
+    "SOA": [
+      "stimulus onset asynchrony",
+      "service oriented architecture"
+    ],
+    "MAT": [
+      "medication assisted treatment",
+      "motionless analysis of traffic",
+      "multi - fingered adaptive tactile grasping"
+    ],
+    "MSD": [
+      "million song dataset",
+      "modified list sphere decoding",
+      "most significant digit"
+    ],
+    "GBM": [
+      "geometric brownian motion",
+      "gradient boosting machine"
+    ],
+    "AS": [
+      "autonomous system",
+      "angular spread",
+      "adaptive softmax",
+      "ancillary service",
+      "azimuth angle spread",
+      "attention sum",
+      "antenna spacing"
+    ],
+    "TD": [
+      "total difficulty",
+      "time - discrete",
+      "technical debt",
+      "temporal difference",
+      "temporal dimension",
+      "training data",
+      "target dependent",
+      "top - down",
+      "time - domain"
+    ],
+    "CPI": [
+      "consumer price index",
+      "conditional predictive impact"
+    ],
+    "RN": [
+      "relational neighbors",
+      "radical nephrectomy",
+      "relay nodes",
+      "random noise",
+      "radial normalization"
+    ],
+    "SN": [
+      "secondary node",
+      "source node",
+      "spectral normalization"
+    ],
+    "RV": [
+      "random vaccination",
+      "right ventricle",
+      "random voting",
+      "random variable",
+      "resilience vector",
+      "range view"
+    ],
+    "AV": [
+      "acquaintance vaccination",
+      "antivirus",
+      "autonomous vehicle"
+    ],
+    "ACR": [
+      "air change rates",
+      "absolute category rating"
+    ],
+    "CN": [
+      "common neighbours",
+      "clustered networks",
+      "core network",
+      "cognitively normal",
+      "common noun"
+    ],
+    "CFA": [
+      "color filter arrays",
+      "constriction factor approach",
+      "counterfactual future advantage"
+    ],
+    "DAS": [
+      "data availability statement",
+      "disclosure avoidance system"
+    ],
+    "HF": [
+      "hybrid fusion",
+      "high frequency"
+    ],
+    "MC": [
+      "mean - centering",
+      "myocardium",
+      "monte carlo",
+      "multi connectivity",
+      "marginal contribution",
+      "markov chain",
+      "mutual cover",
+      "matrix converter"
+    ],
+    "ATE": [
+      "absolute trajectory error",
+      "average translation error"
+    ],
+    "RPE": [
+      "relative pose error",
+      "retinal pigment epithelium"
+    ],
+    "CMS": [
+      "codeword mixture sampling",
+      "counting monadic second"
+    ],
+    "DVS": [
+      "dynamic vision sensor",
+      "dynamic voltage scaling"
+    ],
+    "ED": [
+      "economic dispatch",
+      "emergency department",
+      "embedded deformation",
+      "euclidean distance",
+      "energy detection"
+    ],
+    "APP": [
+      "australian privacy principles",
+      "a posteriori probability"
+    ],
+    "CM": [
+      "canalizing map",
+      "centroid methods",
+      "confusion matrix",
+      "continental margin",
+      "corporate messaging",
+      "choir mix",
+      "coded modulation"
+    ],
+    "SC": [
+      "sleep cassette",
+      "sum capacity",
+      "steering control",
+      "smallest class",
+      "successive cancellation",
+      "score contextualisation",
+      "self cover",
+      "subset compared",
+      "spectral clustering",
+      "smart contract",
+      "self consistency",
+      "selection combining",
+      "sum capacities",
+      "symmetry condition",
+      "single connectivity",
+      "special case",
+      "spatial crowdsourcing",
+      "strongly connected"
+    ],
+    "SW": [
+      "similarity weight",
+      "sliding window",
+      "small - world"
+    ],
+    "RCNN": [
+      "recurrent convolutional neural network",
+      "region based convolutional neural network"
+    ],
+    "ESE": [
+      "entity set expansion",
+      "extract similar entities"
+    ],
+    "GEM": [
+      "gradient episodic memory",
+      "grid entropy measurement"
+    ],
+    "OLS": [
+      "orthogonal least square",
+      "ordinary least square"
+    ],
+    "OSA": [
+      "opportunistic spectrum access",
+      "obstructive sleep apnoea"
+    ],
+    "SF": [
+      "satisfaction function",
+      "sequential fixing",
+      "scale free",
+      "structure fusion",
+      "small faces",
+      "separable footprints",
+      "state - feedback"
+    ],
+    "CH": [
+      "cluster head",
+      "constraint handling"
+    ],
+    "BP": [
+      "belief propagation",
+      "bin packing",
+      "basis pursuit",
+      "backprop",
+      "back propagation",
+      "backdoor poisoning",
+      "bundle protocol",
+      "best performing"
+    ],
+    "LC": [
+      "latent class",
+      "local conditioning",
+      "line card",
+      "least confidence",
+      "largest class",
+      "land cover",
+      "latent clustering",
+      "lyrics comprehension"
+    ],
+    "FTE": [
+      "foveal tilt effects",
+      "full time employment"
+    ],
+    "HT": [
+      "hough transform",
+      "hoeffding tree"
+    ],
+    "SER": [
+      "symbol error rate",
+      "speaker error rate",
+      "speech emotion recognition"
+    ],
+    "BS": [
+      "base station",
+      "beam search",
+      "brier score",
+      "batch size",
+      "standard beam search",
+      "bayesian sets",
+      "bidirectional similarity"
+    ],
+    "BT": [
+      "best target",
+      "back translation",
+      "bernoulli trial"
+    ],
+    "RB": [
+      "random beamforming",
+      "resource blocks",
+      "rank - based",
+      "reduced basis",
+      "rosi braidotti"
+    ],
+    "UD": [
+      "universal dependencies",
+      "unified distillation"
+    ],
+    "GN": [
+      "gaussian noise",
+      "grid name",
+      "gauss - newton"
+    ],
+    "GCNN": [
+      "graph convolutional neural network",
+      "geodesic convolution neural network"
+    ],
+    "GCN": [
+      "generalised convolutional neural network",
+      "graph convolution networks",
+      "global convolution networks"
+    ],
+    "HAN": [
+      "hierarchical attention network",
+      "heterogeneous attributed network"
+    ],
+    "HMP": [
+      "hierarchical matching pursuit",
+      "hypermutations with mutation potential"
+    ],
+    "BPE": [
+      "byte pair encoding",
+      "backward partial execution"
+    ],
+    "ASD": [
+      "autism spectrum disorders",
+      "average surface distance"
+    ],
+    "SWD": [
+      "sliced wasserstein distance",
+      "semantic web deployment"
+    ],
+    "BAM": [
+      "behance artistic media",
+      "best alignment metric",
+      "bandwidth allocation model"
+    ],
+    "SSR": [
+      "spatial skeleton realignment",
+      "sparse signal recovery",
+      "spectral super - resolution"
+    ],
+    "EB": [
+      "energy buffer",
+      "energy beam"
+    ],
+    "SI": [
+      "satellite imagery",
+      "semantic inpainting"
+    ],
+    "AN": [
+      "artificial noise",
+      "attention network"
+    ],
+    "ESC": [
+      "environment sound classification",
+      "ergodic sum capacity"
+    ],
+    "TSP": [
+      "traveling salesman problem",
+      "triad significance profile"
+    ],
+    "LPP": [
+      "locality preserving projections",
+      "load planning problem"
+    ],
+    "ITS": [
+      "intelligent transportation system",
+      "interrupted time series",
+      "intelligent tutoring systems"
+    ],
+    "CST": [
+      "corticospinal tract",
+      "china standard time"
+    ],
+    "CMI": [
+      "conditional mutual information",
+      "code - mixed index"
+    ],
+    "SCA": [
+      "successive convex approximation",
+      "scatter component analysis",
+      "smart cut algorithm"
+    ],
+    "ISP": [
+      "internet service providers",
+      "image signal processor"
+    ],
+    "BNC": [
+      "british national corpus",
+      "brown news corpus"
+    ],
+    "MACS": [
+      "mean average conceptual similarity",
+      "minimum average conceptual similarity"
+    ],
+    "ADA": [
+      "american diabetes association 's",
+      "adaptive data augmentation"
+    ],
+    "DS": [
+      "delay spread",
+      "direct sharing",
+      "data structure",
+      "data sharing",
+      "differentiated softmax",
+      "dempster - shafer",
+      "detection scores"
+    ],
+    "MSA": [
+      "modern standard arabic",
+      "multilevel splitting algorithm",
+      "multiple sequence alignment"
+    ],
+    "DES": [
+      "dual energy subtraction",
+      "defence equipment support"
+    ],
+    "SFC": [
+      "superposition of functional contours",
+      "service function chaining"
+    ],
+    "PLP": [
+      "perceptual linear prediction",
+      "poisson line process"
+    ],
+    "FPR": [
+      "false positive rate",
+      "fuzzy preference relation"
+    ],
+    "BDT": [
+      "boosted decision trees",
+      "bi - directional domain translation"
+    ],
+    "PAP": [
+      "process arrival pattern",
+      "policy administration point"
+    ],
+    "RM": [
+      "roofline model",
+      "robot middleware",
+      "representation mixing",
+      "resource management"
+    ],
+    "EAD": [
+      "encoded archival description",
+      "exponential absolute distance"
+    ],
+    "DCP": [
+      "deep context prediction",
+      "darwin correspondence project"
+    ],
+    "VO": [
+      "velocity obstacle",
+      "visual odometry"
+    ],
+    "ECC": [
+      "error correcting code",
+      "elliptic curve cryptography"
+    ],
+    "ASN": [
+      "autonomous system number",
+      "average sample number"
+    ],
+    "LSA": [
+      "latent semantic analysis",
+      "licensed shared access"
+    ],
+    "SMC": [
+      "sequential monte carlo",
+      "sliding mode control",
+      "statistical model checking",
+      "secure multiparty computation"
+    ],
+    "EO": [
+      "eyes open",
+      "earth observation"
+    ],
+    "EDA": [
+      "evolutionary distribution algorithm",
+      "exploratory data analysis"
+    ],
+    "DRL": [
+      "deep reinforcement learning",
+      "distributional reinforcement learning"
+    ],
+    "PG": [
+      "policy gradient",
+      "policy generator",
+      "property graph"
+    ],
+    "ROM": [
+      "range of motion",
+      "reduced - order models"
+    ],
+    "ICC": [
+      "intraclass correlation coefficient",
+      "implicit computational complexity"
+    ],
+    "MBR": [
+      "minimum bandwidth regenerating",
+      "minimum bounding rectangle"
+    ],
+    "DT": [
+      "decision tree",
+      "delivery teams"
+    ],
+    "RLS": [
+      "recursive least squares",
+      "regularized least squares",
+      "random local search"
+    ],
+    "SP": [
+      "strictly piecewise",
+      "streaming processors",
+      "set partitioning",
+      "subspace pursuit",
+      "stream processor",
+      "shilling profiles",
+      "semantic parsing",
+      "shortest path",
+      "spatial pooler",
+      "standards poors",
+      "sao paulo",
+      "set point",
+      "splitting problem"
+    ],
+    "SL": [
+      "strictly local",
+      "separation logic",
+      "supervised learning"
+    ],
+    "CLS": [
+      "constrained least squares",
+      "complementary learning systems"
+    ],
+    "ARA": [
+      "adversarial risk analysis",
+      "accumulate repeat accumulate"
+    ],
+    "POI": [
+      "points of interest",
+      "projection of interest"
+    ],
+    "RSS": [
+      "received signal strength",
+      "radio signal strength",
+      "random subcarrier selection"
+    ],
+    "CSD": [
+      "constrained spherical deconvolution",
+      "critical sensor density",
+      "contextual sentence decomposition"
+    ],
+    "PN": [
+      "pixel - wise normalization",
+      "partial nephrectomy"
+    ],
+    "PA": [
+      "provider aggregatable",
+      "philadelphia",
+      "physical access",
+      "peano 's arithmetics",
+      "parallel attention",
+      "preferential attachment",
+      "power allocation",
+      "presburger arithmetic"
+    ],
+    "FD": [
+      "fast dormancy",
+      "finite differences",
+      "fractal dimension",
+      "fully - digital"
+    ],
+    "IC": [
+      "initial contact",
+      "integrated circuit",
+      "independent cascading"
+    ],
+    "SPM": [
+      "statistical parameter mapping",
+      "saliency prediction model",
+      "spatial pyramid matching"
+    ],
+    "EMD": [
+      "earth mover 's distance",
+      "excessive mapping dissolution"
+    ],
+    "CRC": [
+      "cyclic redundancy check",
+      "collaborative representation classification"
+    ],
+    "ADN": [
+      "artifact disentanglement network",
+      "activity driven networks"
+    ],
+    "TU": [
+      "threshold updation",
+      "translation unit"
+    ],
+    "OEC": [
+      "oxford english corpus",
+      "online elliptical clustering"
+    ],
+    "BSM": [
+      "basic skill module",
+      "basic safety messages"
+    ],
+    "BNN": [
+      "bayesian neural networks",
+      "binary neural networks"
+    ],
+    "GVR": [
+      "gradient variance regularizer",
+      "global visual representations"
+    ],
+    "SCCs": [
+      "strongly connected components",
+      "static camera clusters"
+    ],
+    "RT": [
+      "radiation therapy",
+      "retweets",
+      "reparameterization trick",
+      "response time",
+      "ruthes",
+      "random target",
+      "region template"
+    ],
+    "RW": [
+      "reaction wheels",
+      "random walk",
+      "rolling window"
+    ],
+    "LV": [
+      "left ventricle",
+      "las vegas",
+      "large volumetric"
+    ],
+    "RG": [
+      "renormalization group",
+      "riemmanian geometry",
+      "real graphs",
+      "reber grammar"
+    ],
+    "AT": [
+      "asteroidal triple",
+      "adversarial training",
+      "adaptive threshold"
+    ],
+    "CCR": [
+      "correct classification ratio",
+      "cross - document coreference resolution",
+      "correct correction rate"
+    ],
+    "GMP": [
+      "gain minus pain",
+      "global max pooling"
+    ],
+    "CBT": [
+      "children 's book test",
+      "consensus - before - talk"
+    ],
+    "DAR": [
+      "dynamic assignment ratio",
+      "defence application register"
+    ],
+    "TSA": [
+      "temporary scope association",
+      "taobao search advertising",
+      "temporal semantic analysis"
+    ],
+    "MI": [
+      "myocardial infarction",
+      "mutual information",
+      "motor imagery",
+      "mathematical induction"
+    ],
+    "PVC": [
+      "premature ventricular contraction",
+      "passive voltage contrast"
+    ],
+    "WT": [
+      "wavelet transform",
+      "wild type",
+      "whole tumor",
+      "william thackeray"
+    ],
+    "AAL": [
+      "automated anatomical labeling",
+      "ambient assisted living"
+    ],
+    "DA": [
+      "denoised auto - encoder",
+      "data assimilation",
+      "deterministic annealing",
+      "domain adaptation",
+      "data augmentation",
+      "direct assessment",
+      "dialogue acts",
+      "distribution alignment"
+    ],
+    "MIR": [
+      "music information retrieval",
+      "music instrument recognition",
+      "music information research"
+    ],
+    "DCT": [
+      "document creation time",
+      "download completion time",
+      "discrete cosine transformation"
+    ],
+    "PLS": [
+      "partial least square",
+      "physical layer security",
+      "progressive lesion segmentation"
+    ],
+    "PC": [
+      "program counter",
+      "point cloud",
+      "program committee",
+      "principal component"
+    ],
+    "CNS": [
+      "central nervous system",
+      "copenhagen networks study"
+    ],
+    "AD": [
+      "alzheimer 's disease",
+      "automatic differentiation",
+      "audit department",
+      "anomaly detection",
+      "auction distribution",
+      "artificially - degraded",
+      "axial diffusivity"
+    ],
+    "PL": [
+      "path loss",
+      "polarity loss",
+      "programming language",
+      "parallel lexicon",
+      "photoluminescence"
+    ],
+    "CMC": [
+      "cumulative matching characteristic",
+      "crude monte carlo"
+    ],
+    "CER": [
+      "character error rate",
+      "classification error rate",
+      "clustering error rate"
+    ],
+    "FE": [
+      "fire emblem",
+      "finite element",
+      "feature extraction"
+    ],
+    "NC": [
+      "network coding",
+      "normalized correlation",
+      "north carolina",
+      "new classes",
+      "noise clinic",
+      "network centre",
+      "next corollary",
+      "node classification",
+      "news commentary"
+    ],
+    "CTC": [
+      "connectionist temporal classification",
+      "common test conditions"
+    ],
+    "ZF": [
+      "zero forcing",
+      "zero - filled"
+    ],
+    "SE": [
+      "spectral efficiency",
+      "situation entity",
+      "smarteda",
+      "sequential exploring",
+      "software engineering",
+      "strong elimination",
+      "signed error",
+      "speech enhancement",
+      "signal enhancement",
+      "squared exponential",
+      "selective eraser",
+      "small enough",
+      "systems engineering"
+    ],
+    "DAC": [
+      "disk array controller",
+      "distributed admission control"
+    ],
+    "GRD": [
+      "group rotate declustering",
+      "ground range detected"
+    ],
+    "ALS": [
+      "aerial laser scanner",
+      "alternating least squares"
+    ],
+    "CE": [
+      "cross entropy",
+      "contrastive estimation",
+      "context entities",
+      "category embeddings",
+      "context encoder",
+      "crossing event"
+    ],
+    "ICA": [
+      "imperialist competitive algorithm",
+      "independent component analysis"
+    ],
+    "WS": [
+      "weight superiority",
+      "word shape",
+      "word sequence",
+      "write skew"
+    ],
+    "SCM": [
+      "semantic correlation maximization",
+      "spatial compositional model",
+      "scanning capacitance microscopy"
+    ],
+    "BF": [
+      "blind forwarding",
+      "basic feature",
+      "bayes factor",
+      "bilateral filtering",
+      "black females",
+      "binary function",
+      "brute force search",
+      "bayesian filtering"
+    ],
+    "PAF": [
+      "provider - aware forwarding",
+      "plenacoustic function"
+    ],
+    "GC": [
+      "garbage collector",
+      "graph cuts",
+      "graph convolution"
+    ],
+    "SIS": [
+      "sequential importance sampling",
+      "social identification system"
+    ],
+    "VC": [
+      "voice conversion",
+      "virtual classifier"
+    ],
+    "PS": [
+      "prediction shift",
+      "parameter server",
+      "personal storage",
+      "probabilistic serial",
+      "power splitting",
+      "projective simulation",
+      "processor sharing"
+    ],
+    "UAS": [
+      "unlabeled attachment score",
+      "unmanned aircraft systems"
+    ],
+    "BI": [
+      "business intelligence",
+      "bayesian inference",
+      "bilinear interpolation"
+    ],
+    "NE": [
+      "nash equilibrium",
+      "named entity",
+      "nested experiments"
+    ],
+    "FM": [
+      "factorization machines",
+      "formal methods",
+      "feature matching",
+      "flash memory",
+      "forward models",
+      "fowlkes mallows index",
+      "feature map",
+      "f1-measure",
+      "frequency modulation",
+      "finite mixture",
+      "fuzzy measure"
+    ],
+    "MRE": [
+      "mean relative error",
+      "median recovery error"
+    ],
+    "BDI": [
+      "belief , desire , intention",
+      "beck 's depression inventory"
+    ],
+    "TE": [
+      "transformation encoder",
+      "taylor expansion",
+      "transformation error",
+      "temporal expressions"
+    ],
+    "APT": [
+      "anytime parameter - free thresholding",
+      "advanced persistent threat"
+    ],
+    "NR": [
+      "new radio",
+      "nuclear receptor"
+    ],
+    "ART": [
+      "adaptive radix tree",
+      "adaptive resonance theory"
+    ],
+    "GM": [
+      "genetically modified",
+      "gradient magnitude",
+      "graph matching",
+      "generator matrix"
+    ],
+    "LB": [
+      "lower bound",
+      "lovasz bregman"
+    ],
+    "IPC": [
+      "instructions per cycle",
+      "individual pitch control",
+      "international patent classification"
+    ],
+    "LT": [
+      "lomonosov 's turnip",
+      "likelihood test",
+      "linear threshold",
+      "luby transform",
+      "label transfer"
+    ],
+    "DOM": [
+      "document object model",
+      "degrees of measurement"
+    ],
+    "ESR": [
+      "equivalent series resistances",
+      "extended support release"
+    ],
+    "PCM": [
+      "peak current mode",
+      "phase change memory",
+      "permanent customer model"
+    ],
+    "IB": [
+      "imaginary batches",
+      "information bottleneck",
+      "immersed boundary"
+    ],
+    "FL": [
+      "flatten layer",
+      "federated learning",
+      "fixated locations"
+    ],
+    "GD": [
+      "group delay",
+      "gradient descent"
+    ],
+    "BPD": [
+      "baseband phase difference",
+      "basis pursuit denoising"
+    ],
+    "SCP": [
+      "squared cosine proximity",
+      "simultaneous closeness - performance"
+    ],
+    "ECN": [
+      "explicit congestion notification",
+      "edge computing node"
+    ],
+    "GRL": [
+      "gradient reversal layer",
+      "goal - oriented requirement language"
+    ],
+    "GS": [
+      "gold standard",
+      "group sweep",
+      "gauss seidel",
+      "geometric sequence",
+      "genetic search",
+      "google scholar 's"
+    ],
+    "IM": [
+      "instant messaging",
+      "identity mapping",
+      "intensity modulation",
+      "influence maps",
+      "interference margin",
+      "index modulation"
+    ],
+    "UI": [
+      "user interface",
+      "uniform indicator"
+    ],
+    "PRR": [
+      "packet reception rate",
+      "pre - reduced ring"
+    ],
+    "DPs": [
+      "dropped pronouns",
+      "dependency pairs"
+    ],
+    "NLM": [
+      "neural logic machines",
+      "neural language modelling"
+    ],
+    "ACC": [
+      "anomaly correlation coefficient",
+      "accuracy",
+      "adaptive cruise control"
+    ],
+    "CG": [
+      "conjugate gradient",
+      "correspondence grouping",
+      "context - guided attention",
+      "contour generator",
+      "context gating",
+      "chemical graph",
+      "candidate generation"
+    ],
+    "DG": [
+      "distributed generation",
+      "dynamic graph",
+      "discontinuous galerkin",
+      "domain generalization"
+    ],
+    "SNP": [
+      "single nucleotide polymorphisms",
+      "state neighborhood probability"
+    ],
+    "MDR": [
+      "multifactor dimensionality reduction",
+      "message dropping rate"
+    ],
+    "CL": [
+      "cumulative link",
+      "coupling layers",
+      "curriculum learning",
+      "continual learning",
+      "classical logic"
+    ],
+    "DIC": [
+      "directed interval class",
+      "dynamic induction control",
+      "deviance information criterion"
+    ],
+    "AEC": [
+      "accepting end component",
+      "automatic exposure control"
+    ],
+    "SGNS": [
+      "syntactic symmetric pattern",
+      "skip - gram with negative sampling"
+    ],
+    "OCC": [
+      "one class classifier",
+      "output constrained covariance",
+      "open circuit condition"
+    ],
+    "AOT": [
+      "adaptive on time",
+      "adaptively optimised threshold"
+    ],
+    "RA": [
+      "random access",
+      "ring allreduce",
+      "resource allocation",
+      "random attack",
+      "remote attestation",
+      "right atrium"
+    ],
+    "PMF": [
+      "probabilistic matrix factorization",
+      "probability mass function"
+    ],
+    "DOE": [
+      "department of energy",
+      "design of experiment",
+      "diffractive optical element"
+    ],
+    "RP": [
+      "replies",
+      "reciprocal pagerank",
+      "reference point",
+      "random priority",
+      "replacement paths"
+    ],
+    "CSP": [
+      "constraint satisfaction problem",
+      "content security policy",
+      "cloud service providers",
+      "coverage sampling problem",
+      "common spatial patterns"
+    ],
+    "PDR": [
+      "pedestrian dead reckoning",
+      "packet delivery ratio"
+    ],
+    "TTI": [
+      "transmission time interval",
+      "time transmit interval"
+    ],
+    "MM": [
+      "mathematical model",
+      "maximum mark"
+    ],
+    "PE": [
+      "processing element",
+      "portable executable"
+    ],
+    "FFT": [
+      "fast fourier transformation",
+      "feature finding team"
+    ],
+    "TDS": [
+      "taint dependency sequences",
+      "training data set"
+    ],
+    "GT": [
+      "group testing",
+      "generic tool",
+      "ground truth",
+      "graph traversal",
+      "google translate"
+    ],
+    "CSS": [
+      "compressive spectrum sensing",
+      "chirp spread spectrum",
+      "cooperative spectrum sensing",
+      "cascade style sheet"
+    ],
+    "IV": [
+      "initialization vector",
+      "intersection viewer"
+    ],
+    "OF": [
+      "optical flow",
+      "objective function"
+    ],
+    "VFC": [
+      "vehicular fog computing",
+      "vector filed consensus"
+    ],
+    "TBS": [
+      "transport block sizes",
+      "terrestrial base station"
+    ],
+    "SEP": [
+      "separator",
+      "symbol error probability"
+    ],
+    "BR": [
+      "boundary refinement",
+      "binary relevance",
+      "bug reports",
+      "belief revision",
+      "best response",
+      "bone region"
+    ],
+    "RWA": [
+      "random walker algorithm",
+      "right wing authoritarianism",
+      "recurrent weighted average"
+    ],
+    "DCI": [
+      "downlink control information",
+      "downlink control indicator"
+    ],
+    "RE": [
+      "resource elements",
+      "relation extraction",
+      "renewable energy",
+      "requirements elicitation",
+      "referring expression"
+    ],
+    "PDF": [
+      "probability density function",
+      "portable document format",
+      "primary distribution format"
+    ],
+    "PAT": [
+      "perform adversarial training",
+      "process arrival time"
+    ],
+    "SIC": [
+      "successive interference cancellation",
+      "static induction control",
+      "self interference cancellation"
+    ],
+    "DFA": [
+      "direct feedback alignment",
+      "deterministic finite automaton"
+    ],
+    "IEC": [
+      "information embedding cost",
+      "international electrotechnical commission"
+    ],
+    "IAN": [
+      "introspective adversarial network",
+      "interference as noise"
+    ],
+    "WN": [
+      "weak normalization",
+      "weight normalization"
+    ],
+    "TTP": [
+      "trusted third party",
+      "total transmit power"
+    ],
+    "SSM": [
+      "state space model",
+      "statistical shape modeling"
+    ],
+    "WSI": [
+      "whole slide image",
+      "word sense induction"
+    ],
+    "CDA": [
+      "concurrent dialogue acts",
+      "christen democratisch appel",
+      "canonical discriminant analysis",
+      "continuous decomposition analysis"
+    ],
+    "BL": [
+      "black level subtraction",
+      "bayesian learning"
+    ],
+    "NSS": [
+      "normalized scan - path saliency",
+      "non - local self similar"
+    ],
+    "VSI": [
+      "virtual switch instances",
+      "variational system identification",
+      "voltage source inverter"
+    ],
+    "RRC": [
+      "rank residual constraint",
+      "radio resource control"
+    ],
+    "ASF": [
+      "apache software foundation",
+      "african swine fever"
+    ],
+    "AKS": [
+      "almost known sets",
+      "asimmetric kernel scaling"
+    ],
+    "ICE": [
+      "intrinsic control error",
+      "interactive connectivity establishment"
+    ],
+    "PDP": [
+      "partial dependence plots",
+      "product display page",
+      "policy decision point"
+    ],
+    "RD": [
+      "real data",
+      "residual denoiser",
+      "research and development",
+      "relative difference",
+      "reciprocal degree"
+    ],
+    "IT": [
+      "iris thickness",
+      "immediate threshold",
+      "inferior temporal",
+      "image translation"
+    ],
+    "CBP": [
+      "coprime blur pairs",
+      "compact bilinear pooling"
+    ],
+    "RFS": [
+      "random finite set",
+      "rain fog snow"
+    ],
+    "IFD": [
+      "indian face database",
+      "icelandic frequency dictionary"
+    ],
+    "CDR": [
+      "call detail records",
+      "critical design review",
+      "clock difference relations"
+    ],
+    "DBP": [
+      "discrete base problem",
+      "determinisable by pruning",
+      "digital back propagation"
+    ],
+    "BLE": [
+      "bluetooth low energy",
+      "bilingual lexicon extraction"
+    ],
+    "RTF": [
+      "region templates framework",
+      "real time factor"
+    ],
+    "BSP": [
+      "binary space partitioning",
+      "bulk synchronous parallel"
+    ],
+    "RCA": [
+      "root certificate authority",
+      "ripple carry adder",
+      "root cause analysis",
+      "reverse classification accuracy"
+    ],
+    "LBP": [
+      "local binary pattern",
+      "loopy belief propagation"
+    ],
+    "LML": [
+      "lifelong metric learning",
+      "log marginal likelihood",
+      "lifelong machine learning"
+    ],
+    "ADF": [
+      "anisotropic diffusion filter",
+      "automatically defined function"
+    ],
+    "DML": [
+      "data modification layer",
+      "declarative ml language"
+    ],
+    "BQ": [
+      "basic question",
+      "bayesian quadrature"
+    ],
+    "LA": [
+      "logical access",
+      "layout analysis",
+      "left atrium",
+      "location area"
+    ],
+    "NPR": [
+      "near perfect reconstruction",
+      "normalized probabilistic rand"
+    ],
+    "PEP": [
+      "permission enforcement point",
+      "policy enforcement point"
+    ],
+    "PPT": [
+      "pignistic probability transformation",
+      "privacy preserving techniques"
+    ],
+    "DMA": [
+      "direct memory access",
+      "dynamic mechanical analysis",
+      "data market austria"
+    ],
+    "SDF": [
+      "side - stream dark field",
+      "signed distance function",
+      "signed distance field"
+    ],
+    "SU": [
+      "symmetric uncertainty",
+      "secondary user"
+    ],
+    "RPG": [
+      "relevance proximity graph",
+      "robust principal graph"
+    ],
+    "PIT": [
+      "permutation invariant training",
+      "pending interest table"
+    ],
+    "CB": [
+      "code block",
+      "content - based",
+      "circular buffered",
+      "compression benchmark",
+      "causal box"
+    ],
+    "DMF": [
+      "dynamic mode factorization",
+      "drone - cell management frame"
+    ],
+    "DBA": [
+      "dtw barycenter averaging",
+      "deterministic buchi automaton"
+    ],
+    "SRL": [
+      "semantic role labeling",
+      "state representation learning",
+      "statistical relational learning"
+    ],
+    "RQ": [
+      "research question",
+      "reformulated queries"
+    ],
+    "SBM": [
+      "stochastic block model",
+      "sequential monte carlo",
+      "standard bit mutations",
+      "shape boltzmann machine"
+    ],
+    "FJ": [
+      "friendly jamming",
+      "featherweight java"
+    ],
+    "SPF": [
+      "structure propagation fusion",
+      "shortest path forest"
+    ],
+    "HM": [
+      "harmonic mean",
+      "hybrid model"
+    ],
+    "LOD": [
+      "linked open data",
+      "level of detail"
+    ],
+    "GTD": [
+      "grasp type detection",
+      "grasp type dataset"
+    ],
+    "TCR": [
+      "trap control register",
+      "transductive cascaded regression"
+    ],
+    "LE": [
+      "low energy",
+      "label equivalence"
+    ],
+    "LCS": [
+      "longest common subsequence",
+      "local causal states"
+    ],
+    "FAST": [
+      "features from accelerated segment test",
+      "file and storage technologies"
+    ],
+    "SSE": [
+      "streaming simd extensions",
+      "spherical semantic embedding"
+    ],
+    "DSR": [
+      "dynamic sparse reparameterization",
+      "dynamic source routing"
+    ],
+    "GPM": [
+      "graph pattern matching",
+      "matchinggraph pattern matching"
+    ],
+    "VR": [
+      "virtual reality",
+      "visibility region",
+      "vigilance reward"
+    ],
+    "MPA": [
+      "music performance analysis",
+      "message passing algorithm"
+    ],
+    "SAN": [
+      "semantic alignment network",
+      "saturation analysis",
+      "subject alternate name",
+      "stacked attention network",
+      "self attention network"
+    ],
+    "SSI": [
+      "subspace system identification",
+      "social system identification",
+      "software sustainability institute"
+    ],
+    "TDM": [
+      "technical debt management",
+      "temporal difference model",
+      "time division multiplexing"
+    ],
+    "NS": [
+      "network science",
+      "negative sampling",
+      "neutron star"
+    ],
+    "SUs": [
+      "secondary users",
+      "spectrum usage"
+    ],
+    "PBS": [
+      "primary base station",
+      "public broadcasting service"
+    ],
+    "PCL": [
+      "positive coalgebraic logics",
+      "point cloud library",
+      "path consistency learning"
+    ],
+    "DMN": [
+      "dynamic memory network",
+      "default mode network"
+    ],
+    "SFM": [
+      "social force model",
+      "structural factorization machine",
+      "structure from motion"
+    ],
+    "GF": [
+      "guided filtering",
+      "gabor filter"
+    ],
+    "CDP": [
+      "centralized differential privacy",
+      "classical dynamic programming"
+    ],
+    "SAM": [
+      "semi - autonomous machine",
+      "speaker - addressee model",
+      "search of associative memory",
+      "self - assessment manikin"
+    ],
+    "TM": [
+      "tone mapping",
+      "teacher mark",
+      "turing machine"
+    ],
+    "DADA": [
+      "distributed affinity dual approximation",
+      "dual adversarial domain adaptation"
+    ],
+    "DEC": [
+      "deep embedded clustering",
+      "dense - captioning event"
+    ],
+    "CNL": [
+      "controlled natural language",
+      "certain natural language"
+    ],
+    "PIN": [
+      "proposal indexing network",
+      "phrase indexing network"
+    ],
+    "USD": [
+      "unmet system demand",
+      "unambiguous state discrimination"
+    ],
+    "HC": [
+      "healthy control",
+      "hill - climbing",
+      "hierarchical classification"
+    ],
+    "GSP": [
+      "generalized second price",
+      "global statistics pooling"
+    ],
+    "ESS": [
+      "effective sample size",
+      "evolutionary stable strategies"
+    ],
+    "LDS": [
+      "low density spreading",
+      "linear dynamical system"
+    ],
+    "ARD": [
+      "adversarially robust distillation",
+      "automatic relevance determination",
+      "accelerated robust distillation"
+    ],
+    "NL": [
+      "network lifetime",
+      "natural language"
+    ],
+    "ILS": [
+      "incomplete lineage sorting",
+      "iterated local search"
+    ],
+    "AML": [
+      "adversarial machine learning",
+      "actor modeling language"
+    ],
+    "MN": [
+      "mobile network",
+      "master node",
+      "memory networks",
+      "mobile node"
+    ],
+    "SED": [
+      "soft edit distance",
+      "sound event detection",
+      "standard edit distance"
+    ],
+    "UDP": [
+      "user datagram protocol",
+      "universal dependency parse"
+    ],
+    "SSL": [
+      "structural sparsity learning",
+      "scleral spur location",
+      "semi supervised learning"
+    ],
+    "SCR": [
+      "scratch",
+      "sparse compositional regression",
+      "skin conductance response"
+    ],
+    "CKA": [
+      "concurrent kleene algebra",
+      "centered kernel alignment"
+    ],
+    "RDS": [
+      "relational database service",
+      "running digital sum"
+    ],
+    "WF": [
+      "white females",
+      "weighted fusion"
+    ],
+    "TBB": [
+      "tor browser bundle",
+      "threading building blocks"
+    ],
+    "DI": [
+      "document index",
+      "dyadic indicator",
+      "direct inspection",
+      "dependency injection"
+    ],
+    "TPD": [
+      "turbo product decoder",
+      "total project delay"
+    ],
+    "NIC": [
+      "neural image caption",
+      "network interface card"
+    ],
+    "DSA": [
+      "data science and analytics",
+      "digital signature algorithm"
+    ],
+    "MRS": [
+      "magnetic resonance spectroscopy",
+      "multiset rewriting systems"
+    ],
+    "CO": [
+      "context - only attention",
+      "carbon - oxygen"
+    ],
+    "NSP": [
+      "neural sequence prediction",
+      "next sentence prediction"
+    ],
+    "FG": [
+      "favoured granted",
+      "filter gate"
+    ],
+    "BSC": [
+      "binary symmetric channel",
+      "base station controller"
+    ],
+    "BSD": [
+      "blind spot detection",
+      "berkeley segmentation dataset"
+    ],
+    "FPS": [
+      "frame per second",
+      "false projection selection"
+    ],
+    "SPS": [
+      "signal processing systems",
+      "surcharge pricing scheme",
+      "signal probability skey"
+    ],
+    "PPE": [
+      "per - pixel - error",
+      "predictive performance equation"
+    ],
+    "EMS": [
+      "elevated mean scan statistic",
+      "event management system",
+      "elevated mean scan"
+    ],
+    "FAR": [
+      "false acceptance rate",
+      "flow annotation replanning"
+    ],
+    "CFD": [
+      "computational fluid dynamics",
+      "carrier frequency difference"
+    ],
+    "DSO": [
+      "direct sparse odometry",
+      "distribution system operator"
+    ],
+    "DTP": [
+      "difference target propagation",
+      "dynamic trajectory predictor"
+    ],
+    "GI": [
+      "gradient initialization",
+      "graph isomorphism"
+    ],
+    "SSS": [
+      "staggered sample selection",
+      "stochastically stable states"
+    ],
+    "DST": [
+      "dialogue state tracker",
+      "discrete sine transform"
+    ],
+    "ID": [
+      "item description",
+      "information decoding",
+      "input data",
+      "interleaved declustering"
+    ],
+    "FEA": [
+      "factored evolutionary algorithms",
+      "finite element analysis"
+    ],
+    "SB": [
+      "systems biology",
+      "symmetry breaking"
+    ],
+    "SG": [
+      "skip gram",
+      "stochastic gradient"
+    ],
+    "CLT": [
+      "central limit theorem",
+      "cognitive load theory"
+    ],
+    "MET": [
+      "michigan english test",
+      "multi - edge type"
+    ],
+    "GSR": [
+      "geographic source routing",
+      "group sparsity residual",
+      "group sparse representation"
+    ],
+    "GPR": [
+      "gaussian process regression",
+      "gamma passing rate"
+    ],
+    "STA": [
+      "static timing analysis",
+      "super - twisting algorithms"
+    ],
+    "HMC": [
+      "hybrid monte carlo",
+      "hamiltonian monte carlo"
+    ],
+    "LSM": [
+      "laplacian - based shape matching",
+      "lock sweeping method"
+    ],
+    "IO": [
+      "inverse optimization",
+      "iterative optimization",
+      "interacting object"
+    ],
+    "LAP": [
+      "low altitude platform",
+      "linear assignment problem"
+    ],
+    "LTP": [
+      "licklider transmission protocol",
+      "long term potentiation"
+    ],
+    "GMS": [
+      "grid - based motion statistics",
+      "gaussian material synthesis"
+    ],
+    "DCM": [
+      "dynamics canalization map",
+      "discontinuous conduction mode",
+      "deep choice model",
+      "discrete choice models",
+      "device configuration manager"
+    ],
+    "MGE": [
+      "minimum generation error",
+      "multi - granularity embedding"
+    ],
+    "MCS": [
+      "maximal consistent set",
+      "modulation and coding scheme",
+      "maximum cardinality search"
+    ],
+    "OP": [
+      "orthogonal procrustes",
+      "old persian",
+      "outage probability",
+      "original precision",
+      "orienteering problem"
+    ],
+    "CWE": [
+      "common weakness enumeration",
+      "character - enhanced word embedding",
+      "chinese word embeddings"
+    ],
+    "MSR": [
+      "minimum storage regenerating",
+      "mining software repositories"
+    ],
+    "PT": [
+      "piecewise -testable",
+      "physical therapy",
+      "productive time",
+      "proof time"
+    ],
+    "PBRT": [
+      "physically based renderer",
+      "physically based ray tracing"
+    ],
+    "NHS": [
+      "national health service",
+      "nurses ' health study"
+    ],
+    "LSC": [
+      "leicester scientific corpus",
+      "long skip connections"
+    ],
+    "STL": [
+      "single task learning",
+      "signal temporal logic",
+      "standard template library"
+    ],
+    "SBS": [
+      "swedish blog sentences",
+      "small - cell base stations"
+    ],
+    "PAA": [
+      "piecewise aggregation approximation",
+      "principal axis analysis"
+    ],
+    "CPS": [
+      "common phone set",
+      "current population survey"
+    ],
+    "MVP": [
+      "mitral valve prolapse",
+      "million veterans program"
+    ],
+    "MPB": [
+      "matrix pair beamformer",
+      "modified poisson blending"
+    ],
+    "MIS": [
+      "multiple importance sampling",
+      "maximal independent set"
+    ],
+    "LF": [
+      "large faces",
+      "late fusion",
+      "line feeds"
+    ],
+    "SOC": [
+      "security operations center",
+      "standard occupation classification",
+      "state of charge"
+    ],
+    "IVR": [
+      "interactive voice response",
+      "immersive virtual reality"
+    ],
+    "IA": [
+      "intent analyst",
+      "interval analysis",
+      "incremental approximation",
+      "interference alignment"
+    ],
+    "IFT": [
+      "information foraging theory",
+      "information flow tracking"
+    ],
+    "ARS": [
+      "augmented random search",
+      "addressee and response selection"
+    ],
+    "SCS": [
+      "statistical compressed sensing",
+      "shortest common superstring",
+      "spoken conversational search",
+      "sub - carrier spacing"
+    ],
+    "SQA": [
+      "semantic question answering",
+      "spoken question answering"
+    ],
+    "AWE": [
+      "averaged word embeddings",
+      "address windowing extensions"
+    ],
+    "TAS": [
+      "transverse abdominal section",
+      "transmit antenna selection"
+    ],
+    "IE": [
+      "information extraction",
+      "intelligent element",
+      "integral equation"
+    ],
+    "CEM": [
+      "causal effect map",
+      "circled entropy measurement",
+      "cross entropy methods"
+    ],
+    "UM": [
+      "user model",
+      "upsampling module"
+    ],
+    "ILM": [
+      "internal limiting membrane",
+      "information lifecycle management"
+    ],
+    "RGB": [
+      "red , green , blue",
+      "red giant branch"
+    ],
+    "CSG": [
+      "cumulative spectral gradient",
+      "cost sharing game"
+    ],
+    "PPC": [
+      "peak power contract",
+      "pay per click"
+    ],
+    "EMG": [
+      "eight medical grade",
+      "electromyograph"
+    ],
+    "DSP": [
+      "digital signal processing",
+      "discrete sequence production"
+    ],
+    "MVF": [
+      "maximum voice frequency",
+      "matching vector families"
+    ],
+    "FDA": [
+      "fisher 's discriminant analysis",
+      "functional data analysis"
+    ],
+    "TDA": [
+      "topological data analysis",
+      "targeted degree - based attack"
+    ],
+    "ERB": [
+      "equivalent rectangular bandwidth",
+      "enhanced residual block"
+    ],
+    "EHS": [
+      "enhanced hybrid simultaneous",
+      "enhanced hybrid swipt protocol"
+    ],
+    "SIR": [
+      "sequential importance resampling",
+      "source to interferences ratio"
+    ],
+    "EMF": [
+      "explicit matrix factorization",
+      "eclipse modeling framework",
+      "electromagnetic fields"
+    ],
+    "DLS": [
+      "derandomized local search",
+      "depth - limited search"
+    ],
+    "AIDA": [
+      "analytic imaging diagnostics arena",
+      "atomic , independent , declarative , and absolute"
+    ],
+    "NTM": [
+      "neural turing machine",
+      "neural topic model"
+    ],
+    "DNS": [
+      "domain name system",
+      "domain name service"
+    ],
+    "EF": [
+      "expedited forwarding",
+      "ejection fraction",
+      "error feedback"
+    ],
+    "MTC": [
+      "movie triplets corpus",
+      "machine type communications"
+    ],
+    "ISM": [
+      "interactive skill modules",
+      "industrial , scientific and medical"
+    ],
+    "PTS": [
+      "partial transmit sequences",
+      "public transportation system"
+    ],
+    "PDT": [
+      "pulse discrete time",
+      "poisson delaunay tessellations"
+    ],
+    "PWM": [
+      "pulse width modulation",
+      "partial weighted matching"
+    ],
+    "GCD": [
+      "graphlet correlation distance",
+      "greatest common divisor"
+    ],
+    "CCG": [
+      "calling contexts graphs",
+      "combinatory categorial grammar",
+      "chromatic correction gratings"
+    ],
+    "MCP": [
+      "mean closest points",
+      "matern cluster process"
+    ],
+    "OR": [
+      "optic radiation",
+      "operations research",
+      "opportunistic relaying"
+    ],
+    "DPN": [
+      "dual path network",
+      "deep pyramid network"
+    ],
+    "LTT": [
+      "lunar transfer trajectory",
+      "locally threshold testable"
+    ],
+    "MED": [
+      "minimal edit distance",
+      "multimedia event detection"
+    ],
+    "FER": [
+      "frame error rate",
+      "facial expression recognition"
+    ],
+    "AE": [
+      "autoencoder",
+      "associative experiment",
+      "absolute error",
+      "answer extraction"
+    ],
+    "BPP": [
+      "bits per pixel",
+      "binomial point process"
+    ],
+    "APD": [
+      "average perpendicular distance",
+      "artifact pyramid decoding"
+    ],
+    "SEM": [
+      "scanning electron microscopy",
+      "squared entropy measurement",
+      "simple event model"
+    ],
+    "PTM": [
+      "point - to - multipoint",
+      "persistent turing machine"
+    ],
+    "CWT": [
+      "continuous wavelet transform",
+      "complex wavelet transform"
+    ],
+    "TA": [
+      "transmission antennas",
+      "threshold algorithm"
+    ],
+    "HOG": [
+      "histogram of gradients",
+      "histogram of oriented gradient"
+    ],
+    "NCE": [
+      "normalized cumulative entropy",
+      "noise contrastive estimation"
+    ],
+    "EP": [
+      "entrance pupil",
+      "exponent parikh",
+      "efficient path",
+      "evolutionary programming",
+      "europarl"
+    ],
+    "COP": [
+      "correlated orienteering problem",
+      "centralized optimization problem"
+    ],
+    "QMA": [
+      "quantitative myotonia assessment",
+      "quantum merlin arthur"
+    ],
+    "MRT": [
+      "minimum risk training",
+      "maximum ratio transmission"
+    ],
+    "VCC": [
+      "vibrational coupled cluster",
+      "vehicular cloud computing"
+    ],
+    "RIC": [
+      "restricted isometry constant",
+      "risk inflation criterion"
+    ],
+    "MV": [
+      "mitral valve",
+      "memory vector"
+    ],
+    "OCT": [
+      "optical coherence tomography",
+      "odd cycle transversal"
+    ],
+    "OA": [
+      "open access",
+      "ocular artifacts",
+      "orthogonal array"
+    ],
+    "TBA": [
+      "targeted betweenness - based attack",
+      "tailor based allocation"
+    ],
+    "IDE": [
+      "integrated development environment",
+      "interprocedural distributive environment"
+    ],
+    "DCH": [
+      "dynamic competition hypothesis",
+      "discriminant cross - modal hashing"
+    ],
+    "GAM": [
+      "generalized additive models",
+      "generative adversarial metric"
+    ],
+    "TVD": [
+      "total variation diminishing",
+      "threshold voltage defined"
+    ],
+    "RUM": [
+      "random utility modelwe",
+      "random utility maximization"
+    ],
+    "TRI": [
+      "temporal random indexing",
+      "toyota research institute"
+    ],
+    "QR": [
+      "quantile regression",
+      "quadruple range"
+    ],
+    "MB": [
+      "motion blurring",
+      "model - based",
+      "maximal biclique"
+    ],
+    "AFC": [
+      "atomic function computation",
+      "automated fare collection(afc",
+      "automatic fact checking"
+    ],
+    "PSL": [
+      "power service layer",
+      "probabilistic soft logic"
+    ],
+    "RPL": [
+      "recurrent power law",
+      "routing protocol for low - power and lossy networks"
+    ],
+    "SPAM": [
+      "subtractive pixel adjacency matrix",
+      "state preparation and measurement errors"
+    ],
+    "PSM": [
+      "patient side manipulator",
+      "precoding - aided spatial modulation"
+    ],
+    "NI": [
+      "new instances",
+      "neat image",
+      "national instruments",
+      "noun incorporation",
+      "network interface"
+    ],
+    "OPF": [
+      "optimal power flow",
+      "optimal pareto front"
+    ],
+    "DTN": [
+      "delay tolerant networks",
+      "domain transfer network",
+      "disruption tolerant networking"
+    ],
+    "PVI": [
+      "parabolic variational inequality",
+      "perpendicular vegetation index"
+    ],
+    "ERR": [
+      "expected reciprocal rank",
+      "exact recovery ratio"
+    ],
+    "HI": [
+      "hubert 's index",
+      "histogram intersection"
+    ],
+    "TCA": [
+      "temporal concept analysis",
+      "task component architecture"
+    ],
+    "NUC": [
+      "normalized uniformity coefficient",
+      "next utterance classification"
+    ],
+    "OCM": [
+      "oz computation model",
+      "original component manufacturers"
+    ],
+    "CCP": [
+      "cross conformal prediction",
+      "convex - concave procedure"
+    ],
+    "JD": [
+      "joint decoding",
+      "joint diagonalization"
+    ],
+    "LDE": [
+      "local discriminant embedding",
+      "learnable dictionary encoding"
+    ],
+    "UC": [
+      "universal composability",
+      "unit commitment"
+    ],
+    "CPD": [
+      "concave points detection",
+      "coherent point drift",
+      "coal mine disaster"
+    ],
+    "HDT": [
+      "header dictionary triple",
+      "header , dictionary , triples"
+    ],
+    "SSC": [
+      "shapley share coefficient",
+      "sparse subspace clustering",
+      "similarity sensitive coding"
+    ],
+    "PDM": [
+      "pulse density modulated",
+      "probability distribution matrix"
+    ],
+    "UCM": [
+      "use case map",
+      "ultrametric contour map"
+    ],
+    "ZTD": [
+      "zenith total delay",
+      "zenithal tropospheric delays"
+    ],
+    "FCA": [
+      "formal concept analysis",
+      "forward capacity auctions"
+    ],
+    "BU": [
+      "bottom - up",
+      "bandwidth units"
+    ],
+    "BCL": [
+      "boolean coalgebraic logics",
+      "bilateral convolutional layers"
+    ],
+    "AQG": [
+      "analyze questions generated",
+      "automatic question generation"
+    ],
+    "CSE": [
+      "cumulative spectrum energy",
+      "common subexpression elimination"
+    ],
+    "MRD": [
+      "mean rank difference",
+      "maximal ratio diversity"
+    ],
+    "NEM": [
+      "net energy metering",
+      "new economy movement"
+    ],
+    "CLI": [
+      "command line interface",
+      "cuneiform language identification"
+    ],
+    "MPCA": [
+      "mobility prediction clustering algorithm",
+      "multi - linear principal components analysis"
+    ],
+    "QF": [
+      "query fusion",
+      "quality factor",
+      "quadratic form"
+    ],
+    "BOA": [
+      "butterfly optimization algorithm",
+      "bilevel optimization algorithm"
+    ],
+    "HP": [
+      "high prr",
+      "hawkes processes"
+    ],
+    "CAA": [
+      "civil aviation authority",
+      "clump assignment array"
+    ],
+    "ACI": [
+      "adjacent channel interference",
+      "artificial collective intelligence"
+    ],
+    "OBS": [
+      "optical burst - switched",
+      "optimal brain surgeon"
+    ]
+  }

requirements.txt

@@ -0,0 +1,4 @@
+torch
+transformers
+tokenizers
+numpy