Update spaCy pipeline

README.md

@@ -14,28 +14,28 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.798987704
+      value: 0.7999501539
     - name: NER Recall
       type: recall
-      value: 0.7954112218
+      value: 0.8082591001
     - name: NER F Score
       type: f_score
-      value: 0.7971954516
+      value: 0.8040831626
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9698599662
+      value: 0.9732027902
 ---
 English pipeline for part-of-speech and rhetorical tagging.
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `en_docusco_spacy` |
-| **Version** | `1.3` |
-| **spaCy** | `>=3.5.0,<3.6.0` |
+| **Version** | `1.4` |
+| **spaCy** | `>=3.7.4,<3.8.0` |
 | **Default Pipeline** | `tok2vec`, `tagger`, `ner` |
 | **Components** | `tok2vec`, `tagger`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -47,11 +47,11 @@ English pipeline for part-of-speech and rhetorical tagging.
 
 <details>
 
-<summary>View label scheme (308 labels for 2 components)</summary>
+<summary>View label scheme (314 labels for 2 components)</summary>
 
 | Component | Labels |
 | --- | --- |
-| **`tagger`** | `APPGE`, `AT`, `AT1`, `BCL21`, `BCL22`, `CC`, `CCB`, `CS`, `CS21`, `CS22`, `CS31`, `CS32`, `CS33`, `CS41`, `CS42`, `CS43`, `CS44`, `CSA`, `CSN`, `CST`, `CSW`, `CSW31`, `CSW32`, `CSW33`, `DA`, `DA1`, `DA2`, `DAR`, `DAT`, `DB`, `DB2`, `DD`, `DD1`, `DD2`, `DDQ`, `DDQGE`, `DDQGE31`, `DDQGE32`, `DDQGE33`, `DDQV`, `DDQV31`, `DDQV32`, `DDQV33`, `EX`, `FO`, `FU`, `FW`, `GE`, `IF`, `II`, `II21`, `II22`, `II31`, `II32`, `II33`, `II41`, `II42`, `II43`, `II44`, `IO`, `IW`, `JJ`, `JJ21`, `JJ22`, `JJ31`, `JJ32`, `JJ33`, `JJ41`, `JJ42`, `JJ43`, `JJ44`, `JJR`, `JJT`, `JK`, `MC`, `MC1`, `MC2`, `MC221`, `MC222`, `MCMC`, `MD`, `MF`, `ND1`, `NN`, `NN1`, `NN121`, `NN122`, `NN131`, `NN132`, `NN133`, `NN141`, `NN142`, `NN143`, `NN144`, `NN2`, `NN21`, `NN22`, `NN221`, `NN222`, `NN231`, `NN232`, `NN233`, `NN31`, `NN32`, `NN33`, `NNA`, `NNB`, `NNL1`, `NNL2`, `NNO`, `NNO2`, `NNT1`, `NNT131`, `NNT133`, `NNT2`, `NNU`, `NNU1`, `NNU2`, `NNU21`, `NNU22`, `NNU221`, `NNU222`, `NP`, `NP1`, `NP2`, `NPD1`, `NPD2`, `NPM1`, `NPM2`, `PN`, `PN1`, `PN121`, `PN122`, `PN21`, `PN22`, `PNQO`, `PNQS`, `PNQS31`, `PNQS32`, `PNQS33`, `PNQV`, `PNQV31`, `PNQV32`, `PNQV33`, `PNX1`, `PPGE`, `PPH1`, `PPHO1`, `PPHO2`, `PPHS1`, `PPHS2`, `PPIO1`, `PPIO2`, `PPIS1`, `PPIS2`, `PPX1`, `PPX121`, `PPX122`, `PPX2`, `PPX221`, `PPX222`, `PPY`, `RA`, `RA21`, `RA22`, `REX`, `REX21`, `REX22`, `REX41`, `REX42`, `REX43`, `REX44`, `RG`, `RG21`, `RG22`, `RG41`, `RG42`, `RG43`, `RG44`, `RGQ`, `RGQV`, `RGQV31`, `RGQV32`, `RGQV33`, `RGR`, `RGT`, `RL`, `RL21`, `RL22`, `RL31`, `RL32`, `RL33`, `RP`, `RPK`, `RR`, `RR21`, `RR22`, `RR31`, `RR32`, `RR33`, `RR41`, `RR42`, `RR43`, `RR44`, `RR51`, `RR52`, `RR53`, `RR54`, `RR55`, `RRQ`, `RRQV`, `RRQV31`, `RRQV32`, `RRQV33`, `RRR`, `RRT`, `RT`, `RT21`, `RT22`, `RT31`, `RT32`, `RT33`, `RT41`, `RT42`, `RT43`, `RT44`, `TO`, `UH`, `UH21`, `UH22`, `UH31`, `UH32`, `UH33`, `VB0`, `VBDR`, `VBDZ`, `VBG`, `VBI`, `VBM`, `VBN`, `VBR`, `VBZ`, `VD0`, `VDD`, `VDG`, `VDI`, `VDN`, `VDZ`, `VH0`, `VHD`, `VHG`, `VHI`, `VHN`, `VHZ`, `VM`, `VM21`, `VM22`, `VMK`, `VV0`, `VVD`, `VVG`, `VVGK`, `VVI`, `VVN`, `VVNK`, `VVZ`, `XX`, `Y`, `ZZ1`, `ZZ2`, `ZZ221`, `ZZ222` |
+| **`tagger`** | `APPGE`, `AT`, `AT1`, `BCL21`, `BCL22`, `CC`, `CCB`, `CS`, `CS21`, `CS22`, `CS31`, `CS32`, `CS33`, `CS41`, `CS42`, `CS43`, `CS44`, `CSA`, `CSN`, `CST`, `CSW`, `CSW31`, `CSW32`, `CSW33`, `DA`, `DA1`, `DA2`, `DAR`, `DAT`, `DB`, `DB2`, `DD`, `DD1`, `DD2`, `DDQ`, `DDQGE`, `DDQGE31`, `DDQGE32`, `DDQGE33`, `DDQV`, `DDQV31`, `DDQV32`, `DDQV33`, `EX`, `FO`, `FU`, `FW`, `GE`, `IF`, `II`, `II21`, `II22`, `II31`, `II32`, `II33`, `II41`, `II42`, `II43`, `II44`, `IO`, `IW`, `JJ`, `JJ21`, `JJ22`, `JJ31`, `JJ32`, `JJ33`, `JJ41`, `JJ42`, `JJ43`, `JJ44`, `JJR`, `JJT`, `JK`, `MC`, `MC1`, `MC121`, `MC122`, `MC2`, `MC221`, `MC222`, `MCMC`, `MD`, `MF`, `ND1`, `NN`, `NN1`, `NN121`, `NN122`, `NN131`, `NN132`, `NN133`, `NN141`, `NN142`, `NN143`, `NN144`, `NN2`, `NN21`, `NN22`, `NN221`, `NN222`, `NN231`, `NN232`, `NN233`, `NN31`, `NN32`, `NN33`, `NNA`, `NNB`, `NNL1`, `NNL2`, `NNO`, `NNO2`, `NNT1`, `NNT131`, `NNT132`, `NNT133`, `NNT2`, `NNU`, `NNU1`, `NNU2`, `NNU21`, `NNU22`, `NNU221`, `NNU222`, `NP`, `NP1`, `NP2`, `NPD1`, `NPD2`, `NPM1`, `NPM2`, `PN`, `PN1`, `PN121`, `PN122`, `PN21`, `PN22`, `PNQO`, `PNQS`, `PNQS31`, `PNQS32`, `PNQS33`, `PNQV`, `PNQV31`, `PNQV32`, `PNQV33`, `PNX1`, `PPGE`, `PPH1`, `PPHO1`, `PPHO2`, `PPHS1`, `PPHS2`, `PPIO1`, `PPIO2`, `PPIS1`, `PPIS2`, `PPX1`, `PPX121`, `PPX122`, `PPX2`, `PPX221`, `PPX222`, `PPY`, `RA`, `RA21`, `RA22`, `REX`, `REX21`, `REX22`, `REX41`, `REX42`, `REX43`, `REX44`, `RG`, `RG21`, `RG22`, `RG31`, `RG32`, `RG33`, `RG41`, `RG42`, `RG43`, `RG44`, `RGQ`, `RGQV`, `RGQV31`, `RGQV32`, `RGQV33`, `RGR`, `RGT`, `RL`, `RL21`, `RL22`, `RL31`, `RL32`, `RL33`, `RP`, `RPK`, `RR`, `RR21`, `RR22`, `RR31`, `RR32`, `RR33`, `RR41`, `RR42`, `RR43`, `RR44`, `RR51`, `RR52`, `RR53`, `RR54`, `RR55`, `RRQ`, `RRQV`, `RRQV31`, `RRQV32`, `RRQV33`, `RRR`, `RRT`, `RT`, `RT21`, `RT22`, `RT31`, `RT32`, `RT33`, `RT41`, `RT42`, `RT43`, `RT44`, `TO`, `UH`, `UH21`, `UH22`, `UH31`, `UH32`, `UH33`, `VB0`, `VBDR`, `VBDZ`, `VBG`, `VBI`, `VBM`, `VBN`, `VBR`, `VBZ`, `VD0`, `VDD`, `VDG`, `VDI`, `VDN`, `VDZ`, `VH0`, `VHD`, `VHG`, `VHI`, `VHN`, `VHZ`, `VM`, `VM21`, `VM22`, `VMK`, `VV0`, `VVD`, `VVG`, `VVGK`, `VVI`, `VVN`, `VVNK`, `VVZ`, `XX`, `Y`, `ZZ1`, `ZZ2`, `ZZ221`, `ZZ222` |
 | **`ner`** | `AcademicTerms`, `AcademicWritingMoves`, `Character`, `Citation`, `CitationAuthority`, `CitationHedged`, `ConfidenceHedged`, `ConfidenceHigh`, `ConfidenceLow`, `Contingent`, `Description`, `Facilitate`, `FirstPerson`, `ForceStressed`, `Future`, `InformationChange`, `InformationChangeNegative`, `InformationChangePositive`, `InformationExposition`, `InformationPlace`, `InformationReportVerbs`, `InformationStates`, `InformationTopics`, `Inquiry`, `Interactive`, `MetadiscourseCohesive`, `MetadiscourseInteractive`, `Narrative`, `Negative`, `Positive`, `PublicTerms`, `Reasoning`, `Responsibility`, `Strategic`, `Uncertainty`, `Updates` |
 
 </details>
@@ -60,10 +60,10 @@ English pipeline for part-of-speech and rhetorical tagging.
 
 | Type | Score |
 | --- | --- |
-| `TAG_ACC` | 96.99 |
-| `ENTS_F` | 79.72 |
-| `ENTS_P` | 79.90 |
-| `ENTS_R` | 79.54 |
-| `TOK2VEC_LOSS` | 20924847.53 |
-| `TAGGER_LOSS` | 1316790.55 |
-| `NER_LOSS` | 5818469.98 |
+| `TAG_ACC` | 97.32 |
+| `ENTS_F` | 80.41 |
+| `ENTS_P` | 80.00 |
+| `ENTS_R` | 80.83 |
+| `TOK2VEC_LOSS` | 297770148.23 |
+| `TAGGER_LOSS` | 4485596.63 |
+| `NER_LOSS` | 21563546.64 |

config.cfg

@@ -1,6 +1,6 @@
 [paths]
-train = "spacy_train_fd.spacy"
-dev = "spacy_test_fd.spacy"
+train = "spacy_train_08.spacy"
+dev = "spacy_dev_08.spacy"
 vectors = null
 init_tok2vec = null
 
@@ -17,6 +17,7 @@ before_creation = null
 after_creation = null
 after_pipeline_creation = null
 tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+vectors = {"@vectors":"spacy.Vectors.v1"}
 
 [components]
 
@@ -43,6 +44,7 @@ upstream = "*"
 
 [components.tagger]
 factory = "tagger"
+label_smoothing = 0.05
 neg_prefix = "!"
 overwrite = false
 scorer = {"@scorers":"spacy.tagger_scorer.v1"}
@@ -102,10 +104,10 @@ seed = ${system.seed}
 gpu_allocator = ${system.gpu_allocator}
 dropout = 0.1
 accumulate_gradient = 1
-patience = 1600
-max_epochs = 0
-max_steps = 40000
-eval_frequency = 250
+patience = 20000
+max_epochs = -1
+max_steps = 80000
+eval_frequency = 1000
 frozen_components = []
 annotating_components = []
 before_to_disk = null
@@ -140,8 +142,8 @@ eps = 0.00000001
 learn_rate = 0.001
 
 [training.score_weights]
-tag_acc = 0.5
-ents_f = 0.5
+tag_acc = 0.4
+ents_f = 0.6
 ents_p = 0.0
 ents_r = 0.0
 ents_per_type = null

en_docusco_spacy-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8d5b44d15d93b41b27c0650f71553ece8709eb2717910922fb129809e9423d54
-size 7501545
+oid sha256:3d9d5411d259b75eabdaf033355056150b158d0d9122a527f5a62b450224f658
+size 8600882

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"en",
   "name":"docusco_spacy",
-  "version":"1.3",
+  "version":"1.4",
   "description":"English pipeline for part-of-speech and rhetorical tagging.",
   "author":"David Brown",
   "email":"dwb2@andrew.cmu.edu",
   "url":"https://docuscope.github.io",
   "license":"MIT",
-  "spacy_version":">=3.5.0,<3.6.0",
-  "spacy_git_version":"Unknown",
+  "spacy_version":">=3.7.4,<3.8.0",
+  "spacy_git_version":"bff8725f4",
   "vectors":{
     "width":0,
     "vectors":0,
@@ -96,6 +96,8 @@
       "JK",
       "MC",
       "MC1",
+      "MC121",
+      "MC122",
       "MC2",
       "MC221",
       "MC222",
@@ -133,6 +135,7 @@
       "NNO2",
       "NNT1",
       "NNT131",
+      "NNT132",
       "NNT133",
       "NNT2",
       "NNU",
@@ -195,6 +198,9 @@
       "RG",
       "RG21",
       "RG22",
+      "RG31",
+      "RG32",
+      "RG33",
       "RG41",
       "RG42",
       "RG43",
@@ -346,195 +352,195 @@
 
   ],
   "performance":{
-    "tag_acc":0.9698599662,
-    "ents_f":0.7971954516,
-    "ents_p":0.798987704,
-    "ents_r":0.7954112218,
+    "tag_acc":0.9732027902,
+    "ents_f":0.8040831626,
+    "ents_p":0.7999501539,
+    "ents_r":0.8082591001,
     "ents_per_type":{
-      "Contingent":{
-        "p":0.818815331,
-        "r":0.782463929,
-        "f":0.8002270148
-      },
-      "InformationExposition":{
-        "p":0.8498392228,
-        "r":0.857557341,
-        "f":0.8536808374
+      "Reasoning":{
+        "p":0.854002833,
+        "r":0.8306135538,
+        "f":0.8421458246
       },
       "AcademicTerms":{
-        "p":0.8128432795,
-        "r":0.8176600252,
-        "f":0.8152445377
+        "p":0.8252578101,
+        "r":0.8253579445,
+        "f":0.8253078743
       },
-      "ForceStressed":{
-        "p":0.8036501362,
-        "r":0.7950043821,
-        "f":0.7993038804
+      "InformationReportVerbs":{
+        "p":0.8027596451,
+        "r":0.8011000156,
+        "f":0.8019289717
       },
-      "Character":{
-        "p":0.8509934653,
-        "r":0.8578615428,
-        "f":0.8544137022
+      "Future":{
+        "p":0.765488715,
+        "r":0.7932351845,
+        "f":0.7791149957
       },
-      "Narrative":{
-        "p":0.7922994384,
-        "r":0.7865517992,
-        "f":0.789415157
+      "InformationExposition":{
+        "p":0.8539760301,
+        "r":0.8797981164,
+        "f":0.8666947817
       },
-      "Strategic":{
-        "p":0.74291956,
-        "r":0.7049416991,
-        "f":0.7234325438
+      "InformationTopics":{
+        "p":0.8032620832,
+        "r":0.832111131,
+        "f":0.8174321491
       },
-      "MetadiscourseInteractive":{
-        "p":0.8243080626,
-        "r":0.7077258639,
-        "f":0.761581223
+      "Interactive":{
+        "p":0.7947168766,
+        "r":0.8300427369,
+        "f":0.8119957757
       },
-      "Facilitate":{
-        "p":0.7420591457,
-        "r":0.6909739929,
-        "f":0.7156060206
+      "InformationPlace":{
+        "p":0.8313006147,
+        "r":0.8251815981,
+        "f":0.8282298046
+      },
+      "MetadiscourseCohesive":{
+        "p":0.9262515843,
+        "r":0.9435545693,
+        "f":0.9348230168
       },
       "Negative":{
-        "p":0.7366169936,
-        "r":0.6818932229,
-        "f":0.7081995321
+        "p":0.7327694094,
+        "r":0.7184111521,
+        "f":0.7255192491
       },
-      "Interactive":{
-        "p":0.8438560526,
-        "r":0.8501978617,
-        "f":0.8470150867
+      "PublicTerms":{
+        "p":0.8295435616,
+        "r":0.8099294529,
+        "f":0.8196191789
       },
-      "MetadiscourseCohesive":{
-        "p":0.9307703425,
-        "r":0.9246894967,
-        "f":0.9277199553
+      "Updates":{
+        "p":0.7950048852,
+        "r":0.7595239484,
+        "f":0.7768595041
       },
-      "Description":{
-        "p":0.7184076094,
-        "r":0.7692427259,
-        "f":0.7429566137
+      "Facilitate":{
+        "p":0.7121212121,
+        "r":0.7260511883,
+        "f":0.7190187381
       },
-      "PublicTerms":{
-        "p":0.8250038862,
-        "r":0.8023660141,
-        "f":0.8135274957
+      "ConfidenceHedged":{
+        "p":0.8541093359,
+        "r":0.8911124443,
+        "f":0.8722186104
       },
-      "Reasoning":{
-        "p":0.8453436321,
-        "r":0.8060425995,
-        "f":0.8252254568
+      "Character":{
+        "p":0.8346142356,
+        "r":0.8503963874,
+        "f":0.842431402
       },
-      "Positive":{
-        "p":0.7428654449,
-        "r":0.6843594646,
-        "f":0.7124132921
+      "InformationChange":{
+        "p":0.7518615519,
+        "r":0.743575419,
+        "f":0.7476955289
       },
-      "Updates":{
-        "p":0.7921472679,
-        "r":0.7476358038,
-        "f":0.7692481756
+      "Description":{
+        "p":0.7325800709,
+        "r":0.7794507086,
+        "f":0.7552889307
       },
-      "InformationTopics":{
-        "p":0.7997236338,
-        "r":0.8110942833,
-        "f":0.8053688262
+      "Narrative":{
+        "p":0.8062556939,
+        "r":0.8161468813,
+        "f":0.8111711361
       },
-      "ConfidenceHigh":{
-        "p":0.7693539348,
-        "r":0.7862870234,
-        "f":0.7777283211
+      "Strategic":{
+        "p":0.740409031,
+        "r":0.7412114763,
+        "f":0.7408100363
       },
-      "Citation":{
-        "p":0.8227242525,
-        "r":0.7993544222,
-        "f":0.8108709889
+      "ForceStressed":{
+        "p":0.7947030659,
+        "r":0.8017171615,
+        "f":0.798194705
       },
-      "ConfidenceHedged":{
-        "p":0.8354197349,
-        "r":0.8900831633,
-        "f":0.8618855884
+      "Positive":{
+        "p":0.7604464139,
+        "r":0.70847817,
+        "f":0.7335430146
       },
-      "InformationChange":{
-        "p":0.7294003868,
-        "r":0.7230371009,
-        "f":0.7262048048
+      "InformationChangeNegative":{
+        "p":0.7757629368,
+        "r":0.5501882058,
+        "f":0.643787851
       },
       "InformationStates":{
-        "p":0.8306426735,
-        "r":0.8544531415,
-        "f":0.8423796861
+        "p":0.8283814449,
+        "r":0.883964522,
+        "f":0.8552708648
       },
-      "FirstPerson":{
-        "p":0.8819685753,
-        "r":0.9076103856,
-        "f":0.8946057773
+      "Citation":{
+        "p":0.8268131868,
+        "r":0.7865356471,
+        "f":0.806171649
       },
-      "Responsibility":{
-        "p":0.7287275566,
-        "r":0.6496172582,
-        "f":0.6869021339
+      "Contingent":{
+        "p":0.8242335608,
+        "r":0.792965086,
+        "f":0.808297036
       },
-      "Inquiry":{
-        "p":0.6458673322,
-        "r":0.6369402632,
-        "f":0.6413727359
+      "ConfidenceHigh":{
+        "p":0.7978622122,
+        "r":0.8092792556,
+        "f":0.8035301809
       },
-      "InformationChangeNegative":{
-        "p":0.738317757,
-        "r":0.532285233,
-        "f":0.6185970636
+      "Responsibility":{
+        "p":0.7480314961,
+        "r":0.6535448118,
+        "f":0.6976032636
       },
-      "ConfidenceLow":{
-        "p":0.8554216867,
-        "r":0.5059382423,
-        "f":0.6358208955
+      "FirstPerson":{
+        "p":0.8797586815,
+        "r":0.9248314199,
+        "f":0.9017321661
       },
-      "InformationPlace":{
-        "p":0.8853535824,
-        "r":0.8875035024,
-        "f":0.8864272388
+      "MetadiscourseInteractive":{
+        "p":0.8416939929,
+        "r":0.7381302007,
+        "f":0.7865175865
       },
-      "Future":{
-        "p":0.7515119175,
-        "r":0.7649827992,
-        "f":0.758187528
+      "Inquiry":{
+        "p":0.6921410073,
+        "r":0.6746690021,
+        "f":0.6832933319
       },
       "AcademicWritingMoves":{
-        "p":0.6664195701,
-        "r":0.4892517007,
-        "f":0.5642554527
+        "p":0.6703235403,
+        "r":0.5360594796,
+        "f":0.5957200694
       },
-      "InformationReportVerbs":{
-        "p":0.7737441669,
-        "r":0.8067978533,
-        "f":0.7899253862
+      "InformationChangePositive":{
+        "p":0.7492952074,
+        "r":0.6050406504,
+        "f":0.6694854264
       },
       "Uncertainty":{
-        "p":0.7402862986,
-        "r":0.6408700051,
-        "f":0.6870001356
-      },
-      "CitationHedged":{
-        "p":0.7630662021,
-        "r":0.9399141631,
-        "f":0.8423076923
+        "p":0.7675700505,
+        "r":0.6989682097,
+        "f":0.731664599
       },
       "CitationAuthority":{
-        "p":0.7866273353,
-        "r":0.5972377753,
-        "f":0.6789730533
+        "p":0.8106492801,
+        "r":0.6098508073,
+        "f":0.6960578493
       },
-      "InformationChangePositive":{
-        "p":0.7317845829,
-        "r":0.605592776,
-        "f":0.6627350972
+      "ConfidenceLow":{
+        "p":0.75,
+        "r":0.5412371134,
+        "f":0.628742515
+      },
+      "CitationHedged":{
+        "p":0.8055555556,
+        "r":0.5714285714,
+        "f":0.6685878963
       }
     },
-    "tok2vec_loss":209248.4752924392,
-    "tagger_loss":13167.9055271149,
-    "ner_loss":58184.6998399578
+    "tok2vec_loss":2977701.4823154043,
+    "tagger_loss":44855.9663105011,
+    "ner_loss":215635.4663943163
   },
   "requirements":[
 

ner/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7aba221a3d579504169f52262fd70ea8a121a9f4e1c6f1fd186ede35abfbe5fe
+oid sha256:a1e85405fe22f70dc22e54c38571a0095d391e798321b4fad4a26e2bc99e4965
 size 163912

ner/moves

@@ -1 +1 @@
-��moves�
+��moves�

tagger/cfg

@@ -1,4 +1,5 @@
 {
+  "label_smoothing":0.05,
   "labels":[
     "APPGE",
     "AT",
@@ -76,6 +77,8 @@
     "JK",
     "MC",
     "MC1",
+    "MC121",
+    "MC122",
     "MC2",
     "MC221",
     "MC222",
@@ -113,6 +116,7 @@
     "NNO2",
     "NNT1",
     "NNT131",
+    "NNT132",
     "NNT133",
     "NNT2",
     "NNU",
@@ -175,6 +179,9 @@
     "RG",
     "RG21",
     "RG22",
+    "RG31",
+    "RG32",
+    "RG33",
     "RG41",
     "RG42",
     "RG43",

tagger/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:461db1e078111078173d225b54ffabd42ad232623f2dcf885ce021825852e07e
-size 105978
+oid sha256:157158c092b1f93002931807c68336068c54b80a1c1f9f3fb1f176de69baca58
+size 108306

tok2vec/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5e68cf632c7b7e0720b53ee8c470444f0f69e01ec4044babcce83294c0e02d9d
+oid sha256:068136db8d9858b9d4aab23ce71700269b57662f5cd3149aa7f413408ed6fa44
 size 6009091

vocab/strings.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2397c5f890da06f450cc9102a3d46437e4927baf67e92c6e0b502c9add35a474
-size 6614972
+oid sha256:8b55a8519c7f00c74db504bd6a87ed019c2283acf01fc9ca0dbf0d6ffc839343
+size 11088214