| Auteur | Rechercher : Carpuat, Marine1; Rechercher : Daume III, Hal; Rechercher : Henry, Katie; Rechercher : Irvine, Ann; Rechercher : Jagarlamudi, Jagadeesh; Rechercher : Rudinger, Rachel |
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| Affiliation | - Conseil national de recherches du Canada. Technologies de l'information et des communications
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| Format | Texte, Article |
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| Conférence | 51st Annual Meeting of the Association for Computational Linguistics, August 4-9 2013, Sofia, Bulgaria |
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| Résumé | Words often gain new senses in new domains. Being able to automatically identify, from a corpus of monolingual text, which word tokens are being used in a previously unseen sense has applications to machine translation and other tasks sensitive to lexical semantics. We define a task, SenseSpotting, in which we build systems to spot tokens that have new senses in new domain text. Instead of difficult and expensive annotation, we build a goldstandard by leveraging cheaply available parallel corpora, targeting our approach to the problem of domain adaptation for machine translation. Our system is able to achieve F-measures of as much as 80%, when applied to word types it has never seen before. Our approach is based on a large set of novel features that capture varied aspects of how words change when used in new domains. |
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| Date de publication | 2013 |
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| Maison d’édition | Association for Computational Linguistics |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 23000603 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 559b8e7b-80bf-4aec-a2a0-33ddb4572af4 |
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| Enregistrement créé | 2016-08-04 |
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| Enregistrement modifié | 2020-04-22 |
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