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1
Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness
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)
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Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness
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)
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3
Keyphrase Generation for Scientific Document Retrieval
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)
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KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents
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)
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KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents ...
Abstract: 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 . ... : Accepted at the International Conference on Natural Language Generation (INLG), 2019 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR
URL: https://arxiv.org/abs/1911.12559
https://dx.doi.org/10.48550/arxiv.1911.12559
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