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22 décembre 2021
- handle: 10670/1.krt6ha
- hal: hal-03476411
- doi: 10.4995/JCLR.2021.15922
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info:eu-repo/semantics/altIdentifier/doi/10.4995/JCLR.2021.15922
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named entities indirectly named entities information extraction named entity recognition multiword expressions text processing text miningSujets proches
Natural science Sciences Science of scienceCiter ce document
Alexis Kauffmann et al., « Reconnaissance d'entités indirectement nommées », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.4995/JCLR.2021.15922
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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.