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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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2
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
An Evaluation Dataset for Identifying Communicative Functions of Sentences in English Scholarly Papers
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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4
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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5
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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6
KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents ...
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7
Unsupervised Keyphrase Extraction with Multipartite Graphs
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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8
Indexation d'articles scientifiques Présentation et résultats du défi fouille de textes DEFT 2016
In: Atelier DEFT 2016 ; https://hal.archives-ouvertes.fr/hal-01693785 ; Atelier DEFT 2016, Jul 2016, Paris, France (2016)
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9
TermITH-Eval: a French Standard-Based Resource for Keyphrase Extraction Evaluation
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)
Abstract: International audience ; Keyphrase extraction is the task of finding phrases that represent the important content of a document. The main aim of keyphrase extraction is to propose textual units that represent the most important topics developed in a document. The output keyphrases of automatic keyphrase extraction methods for test documents are typically evaluated by comparing them to manually assigned reference keyphrases. Each output keyphrase is considered correct if it matches one of the reference keyphrases. However, the choice of the appropriate textual unit (keyphrase) for a topic is sometimes subjective and evaluating by exact matching underestimates the performance. This paper presents a dataset of evaluation scores assigned to automatically extracted keyphrases by human evaluators. Along with the reference keyphrases, the manual evaluations can be used to validate new evaluation measures. Indeed, an evaluation measure that is highly correlated to the manual evaluation is appropriate for the evaluation of automatic keyphrase extraction methods.
Keyword: [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [INFO]Computer Science [cs]; automatic evaluation; keyphrase extraction; structured resource; TermITH-Eval
URL: https://hal.archives-ouvertes.fr/hal-01693805
https://hal.archives-ouvertes.fr/hal-01693805/file/791_Paper.pdf
https://hal.archives-ouvertes.fr/hal-01693805/document
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10
Label Pre-annotation for Building Non-projective Dependency Treebanks for French
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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11
Keyphrase Extraction for N-best Reranking in Multi-Sentence Compression
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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12
Improving Update Summarization by Revisiting the MMR Criterion ...
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