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Plongements Interprétables pour la Détection de Biais Cachés
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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-03265888 ; Traitement Automatique des Langues Naturelles (TALN 2021), 2021, Lille, France. pp.64-80 ; https://talnrecital2021.inria.fr/articles-acceptes/ (2021)
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Weakly supervised discourse segmentation for multiparty oral conversations
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In: 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) ; https://hal.archives-ouvertes.fr/hal-03466161 ; 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), ACL: Association for Computational Linguistics, Nov 2021, Punta Cana, Dominican Republic. pp.1381-1392 ; https://aclanthology.org/2021.emnlp-main.104/ (2021)
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Weakly supervised discourse segmentation for multiparty oral conversations ...
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Ocean Governance: on the recognition of Institutions named in International Environmental Law
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In: A função do direito na gestão sustentável dos recursos minerais marinhos ; https://hal.archives-ouvertes.fr/hal-03099568 ; A função do direito na gestão sustentável dos recursos minerais marinhos, Editora Processo - Rio de Janeiro, In press (2020)
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Tony French discourse segmentation model from Disrpt 2019 shared task ...
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Tony French discourse segmentation model from Disrpt 2019 shared task ...
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Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification
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In: Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue ; Annual SIGdial Meeting on Discourse and Dialogue ; https://hal.archives-ouvertes.fr/hal-02374114 ; Annual SIGdial Meeting on Discourse and Dialogue, Sep 2019, Stockholm, Sweden ; https://www.aclweb.org/anthology/W19-5950 (2019)
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Composition of Embeddings : Lessons from Statistical Relational Learning
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In: Proceedings of SEM 2019 ; 8th Joint Conference on Lexical and Computational Semantics (SEM 2019) ; https://hal.archives-ouvertes.fr/hal-02397476 ; 8th Joint Conference on Lexical and Computational Semantics (SEM 2019), Jun 2019, Minneapolis, United States. pp.33-43 (2019)
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Abstract:
International audience ; Various NLP problems -- such as the prediction of sentence similarity, entailment, and discourse relations -- are all instances of the same general task: the modeling of semantic relations between a pair of textual elements. A popular model for such problems is to embed sentences into fixed size vectors, and use composition functions (e.g. concatenation or sum) of those vectors as features for the prediction. At the same time, composition of embeddings has been a main focus within the field of Statistical Relational Learning (SRL) whose goal is to predict relations between entities (typically from knowledge base triples). In this article, we show that previous work on relation prediction between texts implicitly uses compositions from baseline SRL models. We show that such compositions are not expressive enough for several tasks (e.g. natural language inference). We build on recent SRL models to address textual relational problems, showing that they are more expressive, and can alleviate issues from simpler compositions. The resulting models significantly improve the state of the art in both transferable sentence representation learning and relation prediction.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Embeddings; Relational learning
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URL: https://hal.archives-ouvertes.fr/hal-02397476/file/sileo_24995.pdf https://hal.archives-ouvertes.fr/hal-02397476 https://hal.archives-ouvertes.fr/hal-02397476/document
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Weakly supervised dialog act analysis ; Analyse faiblement supervisée de conversation en actes de dialogue
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In: Conférence sur le Traitement Automatique des Langues Naturelles (TALN - PFIA 2019) ; https://hal.archives-ouvertes.fr/hal-02567765 ; Conférence sur le Traitement Automatique des Langues Naturelles (TALN - PFIA 2019), Jul 2019, Toulouse, France. pp.159-166 ; https://www.irit.fr/pfia2019/wp-content/uploads/2019/07/actes_TALN-RECITAL-courts_CH_PFIA2019-1.pdf (2019)
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Distributional semantic representation and alignment of online chat conversations ; Représentation sémantique distributionnelle et alignement de conversations par chat
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In: Conférence sur le Traitement Automatique des Langues Naturelles (TALN - PFIA 2019) ; https://hal.archives-ouvertes.fr/hal-02567782 ; Conférence sur le Traitement Automatique des Langues Naturelles (TALN - PFIA 2019), Jul 2019, Toulouse, France. pp.399-408 ; http://talnarchives.atala.org/TALN/TALN-2019/12.pdf (2019)
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Mining Discourse Markers for Unsupervised Sentence Representation Learning
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In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2019) ; https://hal.archives-ouvertes.fr/hal-02397473 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2019), Jun 2019, Minneapolis, United States. pp.3477-3486 (2019)
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Cross-Linguistic Discourse Annotation: applications and perspectives. TextLink2018 -- Final Action Conference
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In: https://hal.archives-ouvertes.fr/hal-02048987 ; 2018 (2018)
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Système d’ensemble pour la classification de tweets, DEFT 2017
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In: Atelier Défi Fouille de Textes : Analyse d'opinion et langage figuratif dans des tweets en français@ TALN/RECITAL 2017 (DEFT 2017) ; https://hal.archives-ouvertes.fr/hal-03120281 ; Atelier Défi Fouille de Textes : Analyse d'opinion et langage figuratif dans des tweets en français@ TALN/RECITAL 2017 (DEFT 2017), Jun 2017, Orléans, France. pp.27-31 ; http://talnarchives.atala.org/ateliers/2017/DEFT/2.pdf (2017)
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ANNODIS and related projects: case studies on the annotation of discourse structure
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In: Handbook of Linguistic Annotation ; https://hal.archives-ouvertes.fr/hal-01678212 ; Nancy Ide; James Pustejovsky. Handbook of Linguistic Annotation, Springer Netherlands, pp.1241-1264, 2017, 978-94-024-0881-2. ⟨10.1007/978-94-024-0881-2_47⟩ ; http://www.springer.com/gp/book/9789402408799 (2017)
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A Supervised Approach for Enriching the Relational Structure of Frame Semantics in FrameNet
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In: Proceedings of COLING 2016 ; 26th International Conference on Computational Linguistics (COLING 2016) ; https://hal.archives-ouvertes.fr/hal-01709130 ; 26th International Conference on Computational Linguistics (COLING 2016), Dec 2016, Osaka, Japan. pp. 3542-3552 (2016)
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LECSIE - Linked Events Collection for Semantic Information Extraction
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In: 2015 25th Meeting of Computational Linguistics in The Netherlands (CLIN25) ; https://hal.archives-ouvertes.fr/hal-03198230 ; 2015 25th Meeting of Computational Linguistics in The Netherlands (CLIN25), ACL : Association for Computational Linguistics; University of Antwerp, Feb 2015, Antwerp, Netherlands ; https://www.clips.uantwerpen.be/clin25.bak.160321/home (2015)
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Developing a French FrameNet: Methodology and First results
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In: LREC - The 9th edition of the Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01022385 ; LREC - The 9th edition of the Language Resources and Evaluation Conference, May 2014, Reykjavik, Iceland (2014)
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Présentation de l'atelier SemDis 2014 : sémantique distributionnelle pour la substitution lexicale et l'exploration de corpus spécialisés
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In: 21e Conférence sur le Traitement Automatique des Langues Naturelles (TALN 2014) ; https://hal.archives-ouvertes.fr/hal-01022216 ; 21e Conférence sur le Traitement Automatique des Langues Naturelles (TALN 2014), Jun 2014, Marseille, France. pp.196-205 (2014)
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Extraction non supervisée de relations sémantiques lexicales
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In: Actes de congrès Traitement Automatique des Langues Naturelles ; Traitement Automatique des Langues Naturelles - TALN 2014 ; https://hal.archives-ouvertes.fr/hal-01135821 ; Traitement Automatique des Langues Naturelles - TALN 2014, Jul 2014, Marseille, France. pp. 244-255 (2014)
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Computational pragmatics : time, space and discourse ; Phénomènes contextuels en TAL: temps, espace et discours
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In: https://hal-univ-tlse3.archives-ouvertes.fr/tel-03284109 ; Computation and Language [cs.CL]. UT3 Paul Sabatier, France, 2014 (2014)
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