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ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities
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In: ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22) ; https://hal-universite-paris-saclay.archives-ouvertes.fr/hal-03650618 ; 2022 (2022)
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L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity Recognition ...
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L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity Recognition ...
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Stratégie Multitâche pour la Classification Multiclasse
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In: à paraître : Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles (TALN 2021) ; https://hal.archives-ouvertes.fr/hal-03265870 ; Traitement Automatique des Langues Naturelles (TALN 2021), 2021, Lille, France. pp.227-236 ; https://talnrecital2021.inria.fr/articles-acceptes/ (2021)
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Understanding Feature Focus in Multitask Settings for Lexico-semantic Relation Identification
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In: à paraître ; Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) ; https://hal.archives-ouvertes.fr/hal-03220236 ; Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), ACL : Association for Computational Linguistics; Asian Federation of Natural Language Processing, Aug 2021, Bangkok (complete virtual format), Thailand ; https://2021.aclweb.org/ (2021)
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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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MELHISSA: a multilingual entity linking architecture for historical press articles ...
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MELHISSA: a multilingual entity linking architecture for historical press articles ...
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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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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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A Multilingual Approach for Unsupervised Search Task Identification
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In: SIGIR '20: Proceeding of the 43rd International ACM SIGIR conference on research and development in Information Retrieval ; 43rd International ACM SIGIR conference on research and development in Information Retrieval - SIGIR 2020 ; https://hal.archives-ouvertes.fr/hal-03014724 ; 43rd International ACM SIGIR conference on research and development in Information Retrieval - SIGIR 2020, Jul 2020, Virtual Event China, China. pp.2041-2044, ⟨10.1145/3397271.3401258⟩ ; https://dl.acm.org/doi/10.1145/3397271.3401258 (2020)
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Entity Linking for Historical Documents: Challenges and Solutions
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In: 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020 ; https://hal.archives-ouvertes.fr/hal-03034492 ; 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, 12504, Springer, pp.215-231, 2020, Lecture Notes in Computer Science, 978-3-030-64452-9. ⟨10.1007/978-3-030-64452-9_19⟩ (2020)
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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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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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Abstract:
ISBN: 978-1-4503-7585-6 ; International audience ; Digital libraries are online collections of digital objects that can include text, images, audio, or videos in several languages. It has long been observed that named entities (NEs) are key to the access to digital library portals as they are contained in most user queries. However, NEs can have different spellings for each language which reduces the performance of user queries to retrieve documents across languages. Cross-lingual named entity linking (XEL) connects NEs from documents in a source language to external knowledge bases in another (target) language. The XEL task is especially challenging due to the diversity of NEs across languages and contexts. This paper describes an XEL system applied and evaluated with several languages pairs including English and various low-resourced languages of different linguistic families such as Croatian, Finnish, Estonian, and Slovenian. We tested this approach to analyze documents and NEs in low-resourced languages and link them to the English version of Wikipedia. We present the resulting study of this analysis and the challenges involved in the case of degraded documents from digital libraries. Further works will make an extensive analysis of the impact of our approach on the XEL task with OCRed documents.
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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
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URL: https://doi.org/10.1145/3383583.3398597 https://hal.archives-ouvertes.fr/hal-03026933
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Knowledge Base Embedding By Cooperative Knowledge Distillation
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In: Proceedings of the 28th International Conference on Computational Linguistics, ; International Conference on Computational Linguistics (COLING 2020) ; https://hal.archives-ouvertes.fr/hal-03172074 ; International Conference on Computational Linguistics (COLING 2020), Dec 2020, Barcelone (on line), Spain. pp.5579-5590, ⟨10.18653/v1/2020.coling-main.489⟩ ; https://www.aclweb.org/anthology/2020.coling-main.489/ (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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Linking Named Entities across Languages using Multilingual Word Embeddings ...
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