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CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata

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CHOLAN - Q105079136

CHOLAN : A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata (paper)

Wikidata

  • Dataset - We have extracted an EL dataset from the (T-Rex dataset). Please refer this (link) to download the dataset used in our experiments

Wikipedia

  • Dataset - AIDA-CoNLL, we used the dataset from the DCA paper. Please refer to this (repository).

Candidate Generation

  • FALCON 2.0 - The locally indexed KG items have been used. Please refer to this (repository) for the set up using the Wikidata dump.
  • (DCA) - A predefined candidate set has been used. (Wikipedia)

Setup

Requirements: Python 3.6 or 3.7, torch>=1.2.0

Run the following to create a conda virtual environment:

conda env create -f requirements.yml

Running

python cholan.py  

Citation

@inproceedings{kannan-ravi-etal-2021-cholan,
    title = {CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata},
    author = {Kannan Ravi, Manoj Prabhakar and Singh, Kuldeep and Mulang, Isaiah Onando and Shekarpour, Saeedeh and Hoffart, Johannes and Lehmann, Jens},
    booktitle = {Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume},
    year = {2021}
}

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CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata

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