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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.

How can I integrate AIDA/testc into GERBIL?

Here is the simple modifications you need to do:

  1. If you are running GERBIL, stop the process.
  2. Put aida_testc.ttl in gerbil/gerbil_data/datasets/aida
  3. Open gerbil/src/main/properties/datasets.properties (this properties file contains the dataset configurations for GERBIL).
  4. Copy the following lines underneath the last line defining AIDA/CoNLL-Test B:
    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}
    
  5. Run GERBIL, the new dataset should show up.
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Models trained or fine-tuned on shavarani/AIDA_testc