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

Manoj Prabhakar Kannan Ravi, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Jens Lehmann
2021 arXiv   pre-print
In this paper, we propose CHOLAN, a modular approach to target end-to-end entity linking (EL) over knowledge bases.  ...  Such external contexts have not been used in the state of the art EL approaches. Our empirical study was conducted on two well-known knowledge bases (i.e., Wikidata and Wikipedia).  ...  ., 2020) is the most similar to our approach CHOLAN and trains two independent neural models for MD and ED. It generates candidates on the fly using a Wikidata entity alias map.  ... 
arXiv:2101.09969v2 fatcat:xpjiuy57zrh65ahasi3jlbwyki

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

Manoj Prabhakar Kannan Ravi, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Jens Lehmann
2021 Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume   unpublished
In this paper, we propose CHOLAN, a modular approach to target end-to-end entity linking (EL) over knowledge bases.  ...  Such external contexts have not been used in state of the art EL approaches. Our empirical study was conducted on two well-known knowledge bases (i.e., Wikidata and Wikipedia).  ...  ., 2020) is the most similar to our approach CHOLAN and trains two independent neural models for MD and ED. It generates candidates on the fly using a Wikidata entity alias map.  ... 
doi:10.18653/v1/2021.eacl-main.40 fatcat:sy75ornytbeebicuerwkhlchau