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Article Dans Une Revue Journal of Computer-Assisted Linguistic Research (JCLR) Année : 2021

Indirectly Named Entity Recognition

Reconnaissance d'entités indirectement nommées

Résumé

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.

Dates et versions

hal-03476411 , version 1 (12-12-2021)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

Citer

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

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