| Téléchargement | - Voir la version finale : Improving absent keyphrase generation with diversity heads (PDF, 1.3 Mio)
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| Lien | https://aclanthology.org/2024.findings-naacl.102 |
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| Auteur | Rechercher : Thomas, Edwin; Rechercher : Vajjala, Sowmya1 |
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| Affiliation | - Conseil national de recherches Canada. Technologies numériques
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| Format | Texte, Article |
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| Conférence | 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 16-21, 2024, Mexico City, Mexico |
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| Résumé | Keyphrase Generation (KPG) is the task of automatically generating appropriate keyphrases for a given text, with a wide range of real-world applications such as document indexing and tagging, information retrieval, and text summarization. NLP research makes a distinction between present and absent keyphrases based on whether a keyphrase is directly present as a sequence of words in the document during evaluation. However, present and absent keyphrases are treated together in a text-to-text generation framework during training. We treat present keyphrase extraction as a sequence labeling problem and propose a new absent keyphrase generation model that uses a modified cross-attention layer with additional heads to capture diverse views for the same context encoding in this paper. Our experiments show improvements over the state-of-the-art for four datasets for present keyphrase extraction and five datasets for absent keyphrase generation among the six English datasets we explored, covering long and short documents. |
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| Date de publication | 2024-06-16 |
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| Maison d’édition | Association for Computational Linguistics |
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| Licence | |
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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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| 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 | c4177569-2763-4c66-9e89-d598d2e02cb6 |
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| Enregistrement créé | 2024-07-19 |
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| Enregistrement modifié | 2024-07-19 |
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