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Indirectly Named Entity Recognition

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dc.contributor.author Kauffmann, Alexis es_ES
dc.contributor.author Rey, François-Claude es_ES
dc.contributor.author Atanassova, Iana es_ES
dc.contributor.author Gaudinat, Arnaud es_ES
dc.contributor.author Greenfield, Peter es_ES
dc.contributor.author Madinier, Hélène es_ES
dc.contributor.author Cardey, Sylviane es_ES
dc.date.accessioned 2021-12-15T08:01:39Z
dc.date.available 2021-12-15T08:01:39Z
dc.date.issued 2021-12-13
dc.identifier.uri http://hdl.handle.net/10251/178416
dc.description.abstract [EN] 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. es_ES
dc.description.sponsorship This research has been funded by the FEDER (Fonds européen de développement régional) and selected by the French-Swiss programme Interreg V. We would like to thank Claire Wuillemin for her preliminary work in the DecRIPT project about the State-of-the-Art in NER and SER in 2020. We would also like to thank for their advice Gilles Falquet, Luka Nerima, Eric Wehrli and Jean-Philippe Goldman at the University of Geneva. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Journal of Computer-Assisted Linguistic Research es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Named entities es_ES
dc.subject Indirectly named entities es_ES
dc.subject Information extraction es_ES
dc.subject Named entity recognition es_ES
dc.subject Multiword expressions es_ES
dc.subject Text processing es_ES
dc.subject Text mining es_ES
dc.title Indirectly Named Entity Recognition es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/jclr.2021.15922
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Kauffmann, A.; Rey, F.; Atanassova, I.; Gaudinat, A.; Greenfield, P.; Madinier, H.; Cardey, S. (2021). Indirectly Named Entity Recognition. Journal of Computer-Assisted Linguistic Research. 5(1):27-46. https://doi.org/10.4995/jclr.2021.15922 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/jclr.2021.15922 es_ES
dc.description.upvformatpinicio 27 es_ES
dc.description.upvformatpfin 46 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 5 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2530-9455
dc.relation.pasarela OJS\15922 es_ES
dc.contributor.funder European Regional Development Fund es_ES
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