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ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities
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
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
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
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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13
A Multilingual Approach for Unsupervised Search Task Identification
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)
Abstract: International audience ; Users convert their information needs to search queries, which are then run on available search engines. Query logs registered by search engines enable the automatic identification of the search tasks that users perform to fulfill their information needs. Search engine logs contain queries in multiple languages, but most existing methods for search task identification are not multilingual. Some methods rely on search context training of custom embeddings or external indexed collections that support a single language, making it challenging to support the multiple languages of queries run in search engines. Other methods depend on supervised components and user identifiers to model search tasks. The supervised components require labeled collections, which are difficult and costly to get in multiple languages. Also, the need for user identifiers renders these methods unfeasible in user agnostic scenarios. Hence, we propose an unsupervised multilingual approach for search task identification. The proposed approach is user agnostic, enabling its use in both user-independent and personalized scenarios. Further- more, the multilingual query representation enables us to address the existing trade-off when mapping new queries to the identified search tasks.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; ACM: H.: Information Systems; Graph clustering; Multilingual semantic space; Search task
URL: https://hal.archives-ouvertes.fr/hal-03014724/document
https://hal.archives-ouvertes.fr/hal-03014724/file/task_ide.pdf
https://doi.org/10.1145/3397271.3401258
https://hal.archives-ouvertes.fr/hal-03014724
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14
Entity Linking for Historical Documents: Challenges and Solutions
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
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
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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Knowledge Base Embedding By Cooperative Knowledge Distillation
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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