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Indirectly Named Entity Recognition

Abstract : We define here indirectly named entities, as a term to denote multiword expressions referring to known named entities by means of periphrasis. While named entity recognition is a classical task in natural language processing, little attention has been paid to indirectly named entities and their treatment. In this paper, we try to address this gap, describing issues related to the detection and understanding of indirectly named entities in texts. We introduce a proof of concept for retrieving both lexicalised and non lexicalised indirectly named entities in French texts. We also show example cases where this proof of concept is applied, and discuss future perspectives. We have initiated the creation of a first lexicon of 712 indirectly named entity entries that is available for future research.
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Contributor : François-C. Rey Connect in order to contact the contributor
Submitted on : Sunday, December 12, 2021 - 8:06:59 PM
Last modification on : Tuesday, April 5, 2022 - 11:24:08 AM


Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

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Alexis Kauffmann, François-C. Rey, Iana Atanassova, Arnaud Gaudinat, Peter Greenfield, et al.. Indirectly Named Entity Recognition. Journal of Computer-Assisted Linguistic Research (JCLR), Universitat Politècnica de València, 2021, 5 (1), pp.27-46. ⟨10.4995/JCLR.2021.15922⟩. ⟨hal-03476411⟩



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