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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness Boudin, Florian; Gallina, Ygor In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-03272840 ; Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Jun 2021, Online, France. pp.4185-4193, ⟨10.18653/v1/2021.naacl-main.330⟩ (2021) BASE Show details 2 Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness Boudin, Florian; Gallina, Ygor In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-03477781 ; Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Jun 2021, Online, France. pp.4185-4193, ⟨10.18653/v1/2021.naacl-main.330⟩ (2021) BASE Show details 3 Keyphrase Generation for Scientific Document Retrieval Boudin, Florian; Gallina, Ygor; Aizawa, Akiko In: The 58th Annual Meeting of the Association for Computational Linguistics (ACL) ; https://hal.archives-ouvertes.fr/hal-02556086 ; The 58th Annual Meeting of the Association for Computational Linguistics (ACL), Jul 2020, Online, United States. ⟨10.18653/v1/2020.acl-main.105⟩ (2020) BASE Show details 4 KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents Gallina, Ygor; Boudin, Florian; Daille, Béatrice In: 12th International Conference on Natural Language Generation (INLG) ; https://hal.archives-ouvertes.fr/hal-02395709 ; 12th International Conference on Natural Language Generation (INLG), Oct 2019, Tokyo, Japan. pp.130-135, ⟨10.18653/v1/W19-8617⟩ (2019) Abstract: International audience ; Keyphrase generation is the task of predicting a set of lexical units that conveys the main content of a source text. Existing datasets for keyphrase generation are only readily available for the scholarly domain and include non-expert annotations. In this paper we present KPTimes, a large-scale dataset of news texts paired with editor-curated keyphrases. Exploring the dataset, we show how editors tag documents , and how their annotations differ from those found in existing datasets. We also train and evaluate state-of-the-art neural keyphrase generation models on KPTimes to gain insights on how well they perform on the news domain. The dataset is available online at https:// github.com/ygorg/KPTimes. Keyword: [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing URL: https://doi.org/10.18653/v1/W19-8617 https://hal.archives-ouvertes.fr/hal-02395709/document https://hal.archives-ouvertes.fr/hal-02395709 https://hal.archives-ouvertes.fr/hal-02395709/file/2019_nyt_kp_generation.pdf BASE Hide details 5 KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents ... Gallina, Ygor; Boudin, Florian; Daille, Béatrice. - : arXiv, 2019 BASE Show details

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