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Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness
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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
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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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An Evaluation Dataset for Identifying Communicative Functions of Sentences in English Scholarly Papers
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In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-03272825 ; 12th Conference on Language Resources and Evaluation (LREC 2020), May 2020, Marseille, France (2020)
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Keyphrase Generation for Scientific Document Retrieval
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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
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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 ...
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Unsupervised Keyphrase Extraction with Multipartite Graphs
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In: Proceedings of NAACL-HLT 2018, ; 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT) ; https://hal.archives-ouvertes.fr/hal-01983546 ; 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT), Jun 2018, Nouvelle Orléans, United States. pp.667 - 672 (2018)
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Indexation d'articles scientifiques Présentation et résultats du défi fouille de textes DEFT 2016
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In: Atelier DEFT 2016 ; https://hal.archives-ouvertes.fr/hal-01693785 ; Atelier DEFT 2016, Jul 2016, Paris, France (2016)
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TermITH-Eval: a French Standard-Based Resource for Keyphrase Extraction Evaluation
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In: LREC - Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-01693805 ; LREC - Language Resources and Evaluation Conference, May 2016, Potoroz, Slovenia (2016)
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Label Pre-annotation for Building Non-projective Dependency Treebanks for French
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In: 15th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2014) ; https://hal.archives-ouvertes.fr/hal-01004007 ; 15th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2014), Apr 2014, Kathmandu, Nepal. pp.1-12 (2014)
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Keyphrase Extraction for N-best Reranking in Multi-Sentence Compression
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In: North American Chapter of the Association for Computational Linguistics (NAACL) ; https://hal.archives-ouvertes.fr/hal-00816353 ; North American Chapter of the Association for Computational Linguistics (NAACL), Jun 2013, Atlanta, United States (2013)
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Improving Update Summarization by Revisiting the MMR Criterion ...
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Abstract:
This paper describes a method for multi-document update summarization that relies on a double maximization criterion. A Maximal Marginal Relevance like criterion, modified and so called Smmr, is used to select sentences that are close to the topic and at the same time, distant from sentences used in already read documents. Summaries are then generated by assembling the high ranked material and applying some ruled-based linguistic post-processing in order to obtain length reduction and maintain coherency. Through a participation to the Text Analysis Conference (TAC) 2008 evaluation campaign, we have shown that our method achieves promising results. ... : 20 pages, 3 figures and 8 tables. ...
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Keyword:
FOS Computer and information sciences; I.2.7; Information Retrieval cs.IR
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URL: https://arxiv.org/abs/1004.3371 https://dx.doi.org/10.48550/arxiv.1004.3371
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