shavarani/SpEL
Updated
•
4
AIDA/testc introduced in the paper SPEL: Structured Prediction for Entity Linking (EMNLP 2023), contains 131 Reuters news articles published between December 5th and 7th, 2020. We have meticulously linked the named entity mentions in the newly annotated NER test set of (Liu and Ritter, 2023) to their corresponding Wikipedia pages, using the same linking procedure employed in the original AIDA dataset. Our new entity linking test set, AIDA/testc, has 1,160 unique Wikipedia identifiers, spanning over 3,777 mentions and encompassing a total of 46,456 words.
This dataset is in NIF format and can be easily integrated into GERBIL.
Here is the simple modifications you need to do:
aida_testc.ttl
in gerbil/gerbil_data/datasets/aida
gerbil/src/main/properties/datasets.properties
(this properties file contains the dataset configurations for GERBIL).org.aksw.gerbil.datasets.AIDATestC.file=${org.aksw.gerbil.DataPath}/datasets/aida/aida_testc.ttl
org.aksw.gerbil.datasets.definition.AIDATestC.name=AIDA/CoNLL-Test C
org.aksw.gerbil.datasets.definition.AIDATestC.class=org.aksw.gerbil.dataset.impl.nif.FileBasedNIFDataset
org.aksw.gerbil.datasets.definition.AIDATestC.cacheable=true
org.aksw.gerbil.datasets.definition.AIDATestC.experimentType=A2KB
org.aksw.gerbil.datasets.definition.AIDATestC.constructorArgs=${org.aksw.gerbil.datasets.AIDATestC.file},${org.aksw.gerbil.datasets.definition.AIDATestC.name}