NdeN et acquisition d’informations lexicales à partir du Trésor de la Langue Française Informatisé
For NLP systems, a major issue consists in resolving reference in order to find the themes of documents. In this article, we present a way to find semantic informations to resolve anaphors which use a referential expression of the form NdeN and an anaphor realized by a subject relative pronoun. This...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Cercle linguistique du Centre et de l'Ouest - CerLICO
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| Series: | Corela |
| Subjects: | |
| Online Access: | https://journals.openedition.org/corela/332 |
| _version_ | 1797313856185303040 |
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| author | Laurence Kister Evelyne Jacquey |
| author_facet | Laurence Kister Evelyne Jacquey |
| author_sort | Laurence Kister |
| collection | DOAJ |
| description | For NLP systems, a major issue consists in resolving reference in order to find the themes of documents. In this article, we present a way to find semantic informations to resolve anaphors which use a referential expression of the form NdeN and an anaphor realized by a subject relative pronoun. This method is based on the semantic content of nouns in NdeN groups and uses a list of concrete nouns in French which can be automatically extracted from the definitions of the TLFi dictionary in its XML-tagged version. Such a list is then used to annotate corpora in order to predict the selection of the good nominal referent which can be the second noun or the entire NP (35% of referential expressions contain a concrete noun). |
| first_indexed | 2024-03-08T02:37:39Z |
| format | Article |
| id | doaj.art-7bd46f251ade4f29a1ee61b411e346ad |
| institution | Directory Open Access Journal |
| issn | 1638-573X |
| language | English |
| last_indexed | 2024-03-08T02:37:39Z |
| publisher | Cercle linguistique du Centre et de l'Ouest - CerLICO |
| record_format | Article |
| series | Corela |
| spelling | doaj.art-7bd46f251ade4f29a1ee61b411e346ad2024-02-13T13:52:41ZengCercle linguistique du Centre et de l'Ouest - CerLICOCorela1638-573X5110.4000/corela.332NdeN et acquisition d’informations lexicales à partir du Trésor de la Langue Française InformatiséLaurence KisterEvelyne JacqueyFor NLP systems, a major issue consists in resolving reference in order to find the themes of documents. In this article, we present a way to find semantic informations to resolve anaphors which use a referential expression of the form NdeN and an anaphor realized by a subject relative pronoun. This method is based on the semantic content of nouns in NdeN groups and uses a list of concrete nouns in French which can be automatically extracted from the definitions of the TLFi dictionary in its XML-tagged version. Such a list is then used to annotate corpora in order to predict the selection of the good nominal referent which can be the second noun or the entire NP (35% of referential expressions contain a concrete noun).https://journals.openedition.org/corela/332lexical semanticsanaphorNdeNsemantic tagginglexicon extraction |
| spellingShingle | Laurence Kister Evelyne Jacquey NdeN et acquisition d’informations lexicales à partir du Trésor de la Langue Française Informatisé Corela lexical semantics anaphor NdeN semantic tagging lexicon extraction |
| title | NdeN et acquisition d’informations lexicales à partir du Trésor de la Langue Française Informatisé |
| title_full | NdeN et acquisition d’informations lexicales à partir du Trésor de la Langue Française Informatisé |
| title_fullStr | NdeN et acquisition d’informations lexicales à partir du Trésor de la Langue Française Informatisé |
| title_full_unstemmed | NdeN et acquisition d’informations lexicales à partir du Trésor de la Langue Française Informatisé |
| title_short | NdeN et acquisition d’informations lexicales à partir du Trésor de la Langue Française Informatisé |
| title_sort | nden et acquisition d informations lexicales a partir du tresor de la langue francaise informatise |
| topic | lexical semantics anaphor NdeN semantic tagging lexicon extraction |
| url | https://journals.openedition.org/corela/332 |
| work_keys_str_mv | AT laurencekister ndenetacquisitiondinformationslexicalesapartirdutresordelalanguefrancaiseinformatise AT evelynejacquey ndenetacquisitiondinformationslexicalesapartirdutresordelalanguefrancaiseinformatise |