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GeSERA: General-domain Summary Evaluation by Relevance Analysis
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In: RANLP 2021 Recent Advances in Natural Language Processing ; https://hal-cnrs.archives-ouvertes.fr/hal-03408902 ; RANLP 2021 Recent Advances in Natural Language Processing, Sep 2021, Online, Bulgaria (2021)
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Deep Learning Enhanced with Graph Knowledge for Sentiment Analysis
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In: 6th International Workshop on eXplainable SENTIment Mining and EmotioN deTection co-located with 18th Extended Semantic Web Conference 2021 (X-SENTIMENT 2021) ; https://hal.archives-ouvertes.fr/hal-03558933 ; 6th International Workshop on eXplainable SENTIment Mining and EmotioN deTection co-located with 18th Extended Semantic Web Conference 2021 (X-SENTIMENT 2021), Jun 2021, Hersonissos, Greece. pp.74-86 ; http://ceur-ws.org/Vol-2918/ (2021)
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Strength in Numbers: Averaging and Clustering Effects in Mixture of Experts for Graph-Based Dependency Parsing
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In: 17th International Conference on Parsing Technologies (IWPT 2021) ; https://hal.archives-ouvertes.fr/hal-03558605 ; 17th International Conference on Parsing Technologies (IWPT 2021), Aug 2021, Online, United States. p. 106-118 ; https://aclanthology.org/volumes/2021.iwpt-1/ (2021)
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Strength in Numbers: Averaging and Clustering Effects in Mixture of Experts for Graph-Based Dependency Parsing ...
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GeSERA: General-domain Summary Evaluation by Relevance Analysis ...
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Integrating Dependency Parses with Sequential Patterns to Improve Relation Extraction ; Apport des dépendances syntaxiques et des patrons séquentiels à l'extraction de relations
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In: TALN 2018 ; https://hal.inria.fr/hal-02079719 ; TALN 2018, May 2018, Rennes, France (2018)
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The balance between quantitative and qualitative literary stylistics: How the method of "motifs" can help
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In: The Grammar of Genres and styles ; https://hal.archives-ouvertes.fr/hal-03546266 ; Legallois, Charnois, Larjavaara. The Grammar of Genres and styles, De Gruyter Mouton, 2018, 9783110589689. ⟨10.1515/9783110595864-008⟩ ; https://www-degruyter-com.ezproxy.univ-paris3.fr/document/doi/10.1515/9783110595864/html (2018)
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Approaching French theatrical characters by syntactical analysis: a study with motifs and correspondence analysis
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In: The Grammar of Genres and Styles. From Discrete to Non-Discrete Units ; https://hal.archives-ouvertes.fr/hal-03482615 ; Dominique Legallois; Thierry Charnois; Meri Larjavaara. The Grammar of Genres and Styles. From Discrete to Non-Discrete Units, 320, De Gruyter Mouton, pp.118-139, 2018, Trends in Linguistics. Studies and Monographs [TiLSM], 978-3-11-058968-9. ⟨10.1515/9783110595864-006⟩ (2018)
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An Experimental Approach For Information Extraction in Multi-Party Dialogue Discourse
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In: CICLing 2018 - 19th International Conference on Computational Linguistics and Intelligent Text Processing ; https://hal.archives-ouvertes.fr/hal-01804147 ; CICLing 2018 - 19th International Conference on Computational Linguistics and Intelligent Text Processing, Mar 2018, Hanoi, Vietnam. pp.1-14 (2018)
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The Grammar of Genres and Styles : From Discrete to Non-Discrete Units
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In: https://hal.archives-ouvertes.fr/hal-03540351 ; 2018, 9783110589689 (2018)
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Linguistic features of genre and method variation in translation: A computational perspective
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In: 92 ; 117 (2018)
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Combining Syntactic and Sequential Patterns for Unsupervised Semantic Relation Extraction.
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In: https://hal.archives-ouvertes.fr/hal-01591501 ; CEUR-WS.org. Macedonia. 1881, pp.81-84, 2017, Interactions between Data Mining and Natural Language Processing 2017 (2017)
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Identifying clichés in romance novels using the "motifs" method ; Repérer les clichés dans les romans sentimentaux grâce à la méthode des « motifs »
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In: ISSN: 1146-6480 ; EISSN: 1960-6052 ; LIDIL - Revue de linguistique et de didactique des langues ; https://hal.archives-ouvertes.fr/hal-01956486 ; LIDIL - Revue de linguistique et de didactique des langues, UGA Editions, 2016 (2016)
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Abstract:
International audience ; This paper deals with the exploration of genre-specific phraseology, more precisely, of "sequential patterns" expressing clichés. In our approach, a sequential pattern (or "motif") is a specific and regular lexical and grammatical configuration. This unit is automatically detected; genre-specific motifs are calculated on the basis of two alternative methods (mutual information and calculation of specificities). The analysis is based on a large number of illustrations taken from a corpus of 150 contemporary novels: 50 "serious" novels, 50 crime novels and 50 sentimental novels. The study supports our initial hypothesis: sentimental novels are characterized by a high level of clichés, and these clichés are expressed through specific sequential patterns. ; Cet article porte sur la détection automatique de configurations lexico-grammaticales-appelées « motifs »-caractéristiques d'un genre textuel. On s'intéresse plus particulièrement aux motifs exprimant une des dimensions phraséologiques des romans sentimentaux, à savoir le cliché. Deux méthodes de calcul des motifs sont présentées : l'information mutuelle et le calcul des spécificités. L'article donne de nombreux exemples à partir de l'analyse d'un corpus composé de 150 romans contemporains : 50 romans policiers, 50 romans dits « sérieux » et 50 romans sentimentaux. Les résultats obtenus permettent de valider l'idée que les clichés sont exprimés non pas seulement par des séquences figées, mais aussi par des séquences schématiques.
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Keyword:
[SHS.LANGUE]Humanities and Social Sciences/Linguistics; clichés; genre textuel; linguistique de corpus; motif; phraséologie; roman sentimental
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URL: https://hal.archives-ouvertes.fr/hal-01956486/file/Rep%C3%A9rer%20les%20clich%C3%A9s%20dans%20les%20romans%20sentimentaux%20gr%C3%A2ce%20%C3%A0%20la%20m%C3%A9thode%20des%20%C2%AB%20motifs%20%C2%BB.pdf https://hal.archives-ouvertes.fr/hal-01956486/document https://hal.archives-ouvertes.fr/hal-01956486
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Semantic Annotation of the ACL Anthology Corpus for the Automatic Analysis of Scientific Literature
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In: LREC 2016 ; https://hal.archives-ouvertes.fr/hal-01360407 ; LREC 2016, May 2016, Portoroz, Slovenia (2016)
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Pattern mining and CRF for symptoms recognition in biomedical texts ; Fouille de motifs et CRF pour la reconnaissance de symptômes dans les textes biomédicaux
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In: 23e conférence sur le Traitement Automatique des Langues Naturelles (TALN’16) ; https://halshs.archives-ouvertes.fr/halshs-01727081 ; 23e conférence sur le Traitement Automatique des Langues Naturelles (TALN’16), Jul 2016, Paris, France. pp.194-206 (2016)
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Weakly-supervised Symptom Recognition for Rare Diseases in Biomedical Text
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In: 15th International Symposium on Intelligent Data Analysis ; https://halshs.archives-ouvertes.fr/halshs-01727071 ; 15th International Symposium on Intelligent Data Analysis, Oct 2016, Stockholm, Sweden (2016)
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Identification of Shell Nouns, Signals of Discourse Organisation ; Identification des noms sous-spécifiés, signaux de l’organisation discursive
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In: Proceedings of TALN 2014 (Volume 1: Long Papers) ; 21ème conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-01076760 ; 21ème conférence sur le Traitement Automatique des Langues Naturelles, Jul 2014, Marseille, France. pp.377-388 ; https://www.aclweb.org/anthology/F14-1033 (2014)
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