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Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques
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In: Conférence en Recherche d'Informations et Applications (CORIA 2021) ; https://hal.archives-ouvertes.fr/hal-03320332 ; Conférence en Recherche d'Informations et Applications (CORIA 2021), ARIA : Association Francophone de Recherche d’Information (RI) et Applications, Apr 2021, Grenoble (virtuel), France. pp.1 - 7 ; http://coria.asso-aria.org/2021/articles/mini_24/main.pdf (2021)
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A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers
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In: SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ; https://hal.archives-ouvertes.fr/hal-03418387 ; SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2021, Virtual Event, Canada. pp.2328-2334, ⟨10.1145/3404835.3463255⟩ (2021)
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A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
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A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
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Robust Named Entity Recognition and Linking on Historical Multilingual Documents
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In: Conference and Labs of the Evaluation Forum (CLEF 2020) ; https://hal.archives-ouvertes.fr/hal-03026969 ; Conference and Labs of the Evaluation Forum (CLEF 2020), Sep 2020, Thessaloniki, Greece. pp.1-17, ⟨10.5281/zenodo.4068074⟩ ; http://ceur-ws.org/Vol-2696/paper_171.pdf (2020)
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Abstract:
International audience ; This paper summarizes the participation of the L3i laboratory of the University of La Rochelle in the Identifying Historical People, Places, and other Entities (HIPE) evaluation campaign of CLEF 2020. Our participation relies on two neural models, one for named entity recognition and classification (NERC) and another one for entity linking (EL). We carefully pre-processed inputs to mitigate its flaws, notably in terms of segmentation. Our submitted runs cover all languages (English, French, and German) and sub-tasks proposed in the lab: NERC, endto-end EL, and EL-only. Our submissions obtained top performance in 50 out of the 52 scoreboards proposed by the lab organizers. In further detail, out of 70 runs submitted by 13 participants, our approaches obtained the best score for all metrics in all three languages both for NERC and for end-to-end EL. It also obtained the best score for all metrics in French and German for EL-only.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Entity linking; Information extraction; Named Entity Recognition
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URL: https://hal.archives-ouvertes.fr/hal-03026969 https://hal.archives-ouvertes.fr/hal-03026969/document https://hal.archives-ouvertes.fr/hal-03026969/file/paper_171-2.pdf https://doi.org/10.5281/zenodo.4068074
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Compressive approaches for cross-language multi-document summarization
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In: ISSN: 0169-023X ; Data and Knowledge Engineering ; https://hal.archives-ouvertes.fr/hal-02556889 ; Data and Knowledge Engineering, Elsevier, 2020, 125, pp.101763. ⟨10.1016/j.datak.2019.101763⟩ (2020)
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Linking Named Entities across Languages using Multilingual Word Embeddings
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In: JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020 ; ACM/IEEE Joint Conference on Digital Libraries - JCDL 2020 ; https://hal.archives-ouvertes.fr/hal-03026933 ; ACM/IEEE Joint Conference on Digital Libraries - JCDL 2020, Aug 2020, Wuhan, Hubei - Virtual event, China. pp.329-332, ⟨10.1145/3383583.3398597⟩ ; https://dl.acm.org/doi/10.1145/3383583.3398597 (2020)
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Robust Named Entity Recognition and Linking on Historical Multilingual Documents ...
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Robust Named Entity Recognition and Linking on Historical Multilingual Documents ...
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A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming ...
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A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming ...
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TLR at BSNLP2019: A Multilingual Named Entity Recognition System
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In: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing ; 7th Workshop on Balto-Slavic Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-02364839 ; 7th Workshop on Balto-Slavic Natural Language Processing, Aug 2019, Florence, Italy. pp.83-88, ⟨10.18653/v1/W19-3711⟩ ; https://www.aclweb.org/anthology/W19-3711/ (2019)
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A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task
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In: 11th International Conference on Language Resources and Evaluation (LREC) ; https://hal.archives-ouvertes.fr/hal-01722130 ; 11th International Conference on Language Resources and Evaluation (LREC), 2018, Miyazaki, Japan (2018)
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A First Summarization System of a Video in a Target Language
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In: MISSI 2018 - 11th edition of the International Conference on Multimedia and Network Information Systems ; https://hal.archives-ouvertes.fr/hal-01819720 ; MISSI 2018 - 11th edition of the International Conference on Multimedia and Network Information Systems, Sep 2018, Wrocław, Poland. pp.1-12 (2018)
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