DOI | Trouver le DOI : https://doi.org/10.3115/v1/N15-1065 |
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Auteur | Rechercher : Fujita, Atsushi; Rechercher : Isabelle, Pierre1 |
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Affiliation du nom | - 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 | 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, May 31-June 5, 2015, Denver, Colorado, USA |
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Résumé | This study tackles the problem of paraphrase acquisition: achieving high coverage as well as accuracy. Our method first induces paraphrase patterns from given seed paraphrases, exploiting the generality of paraphrases exhibited by pairs of lexical variants, e.g., “amendment” and “amending,” in a fully empirical way. It then searches monolingual corpora for new paraphrases that match the patterns. This can extract paraphrases comprising words that are completely different from those of the given seeds. In experiments, our method expanded seed sets by factors of 42 to 206, gaining 84% to 208% more coverage than a previous method that generalizes only identical word forms. Human evaluation through a paraphrase substitution test demonstrated that the newly acquired paraphrases retained reasonable quality, given substantially high-quality seeds |
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Date de publication | 2015-05-31 |
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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 | 23000029 |
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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 | 17c01587-4974-485b-916e-e67059fde624 |
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Enregistrement créé | 2016-05-30 |
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Enregistrement modifié | 2020-04-22 |
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