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Differential Evaluation: a Qualitative Analysis of Natural Language Processing System Behavior Based Upon Data Resistance to Processing
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In: Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems ; EVAL4NLP, 2nd Workshop on "Evaluation & Comparison of NLP Systems", EMNLP 2021 ; https://hal.archives-ouvertes.fr/hal-03432331 ; EVAL4NLP, 2nd Workshop on "Evaluation & Comparison of NLP Systems", EMNLP 2021, Nov 2021, Punta Cana, Dominican Republic (2021)
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A Fine-grained Annotated Corpus for Target-Based Opinion Analysis in Economy - Finance ...
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Automatic Removal of Identifying Information in Official EU Languages for Public Administrations: The MAPA Project
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In: Legal Knowledge and Information Systems ; Frontiers in Artificial Intelligence and Applications ; International Conference on Legal Knowledge and Information Systems ; https://hal.archives-ouvertes.fr/hal-03058311 ; International Conference on Legal Knowledge and Information Systems, Dec 2020, Brno, Prague, Czech Republic. pp.223-226, ⟨10.3233/FAIA200869⟩ ; http://ebooks.iospress.nl/volume/legal-knowledge-and-information-systems-jurix-2020-the-thirty-third-annual-conference-brno-czech-republic-december-911-2020 (2020)
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The Multilingual Anonymisation Toolkit for Public Administrations (MAPA) Project
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In: Annual Conference of the European Association for Machine Translation ; https://hal.archives-ouvertes.fr/hal-03103205 ; Annual Conference of the European Association for Machine Translation, Nov 2020, Lisbon, Portugal. pp.471-472 (2020)
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GDPR Compliance for task-oriented dialog systems conception ; La conformité RGPD dans les systèmes de dialogue orientés-tâche
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In: Proceedings of the workshop on Legal and Ethical Issues (Legal2020) ; workshop on Legal and Ethical Issues (Legal2020) ; https://hal.archives-ouvertes.fr/hal-02939424 ; workshop on Legal and Ethical Issues (Legal2020), LREC, May 2020, Marseille, France (2020)
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The NLP4NLP Corpus (II): 50 Years of Research in Speech and Language Processing
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In: ISSN: 2504-0537 ; EISSN: 2504-0537 ; Frontiers in Research Metrics and Analytics ; https://hal.archives-ouvertes.fr/hal-02413749 ; Frontiers in Research Metrics and Analytics, Frontiers Media, 2019, 3, pp.1-30 (2019)
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The NLP4NLP Corpus (I): 50 Years of Publication, Collaboration and Citation in Speech and Language Processing
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In: ISSN: 2504-0537 ; EISSN: 2504-0537 ; Frontiers in Research Metrics and Analytics ; https://hal.archives-ouvertes.fr/hal-02413751 ; Frontiers in Research Metrics and Analytics, Frontiers Media, 2019, 3, pp.1-30 (2019)
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Demonstrating ConstruKT, a text annotation toolkit for generalized linguistic contructions applied to communication spin ...
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Demonstrating ConstruKT, a text annotation toolkit for generalized linguistic contructions applied to communication spin ...
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Measuring Innovation in Speech and Language Processing Publications
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In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01840694 ; International Conference on Language Resources and Evaluation, European Language Resources Association (ELRA), May 2018, Miyazaki, Japan (2018)
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TransLiTex: A Parallel Corpus of Translated Literary Texts
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In: Eleventh International Conference on Language Resources and Evaluation (LREC 2018) ; https://hal.archives-ouvertes.fr/hal-01827884 ; Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Beijing Advanced Innovation Center for Language Resources, May 2018, Miyazaki, Japan (2018)
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Reuse and Plagiarism in Speech and Natural Language Processing
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In: ISSN: 1432-5012 ; EISSN: 1432-1300 ; International Journal on Digital Libraries ; https://hal.archives-ouvertes.fr/hal-01840700 ; International Journal on Digital Libraries, Springer Verlag, 2017, 18, pp.1-14 (2017)
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On The Contribution Of Specific Entity Detection And Comparative Construction To Automatic Spin Detection In Biomedical Scientific Publications ...
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On The Contribution Of Specific Entity Detection And Comparative Construction To Automatic Spin Detection In Biomedical Scientific Publications ...
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A Study of Reuse and Plagiarism in Speech and Natural Language Processing papers
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In: BIRNDL 2016 ; https://hal.archives-ouvertes.fr/hal-01840817 ; BIRNDL 2016, Jan 2016, Newark, United States (2016)
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Rediscovering 15+2 Years of Discoveries in Language Resources and Evaluation
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01840701 ; Language Resources and Evaluation, Springer Verlag, 2016, 50, pp.165-220 (2016)
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Analyse des émotions, sentiments et opinions exprimés dans les tweets : présentation et résultats de l'édition 2015 du défi fouille de texte (DEFT)
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In: Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles (TALN 2015) ; https://hal.archives-ouvertes.fr/hal-01617180 ; Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles (TALN 2015), Jun 2015, Caen, France ; http://www.atala.org/taln_archives/ateliers/2015/DEFT/deft-2015-long-001.pdf (2015)
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Abstract:
International audience ; L'édition 2015 du défi fouille de texte (DEFT) porte sur la fouille d'opinion et l'analyse des sentiments et des émotions dans les messages postés sur Twitter en relation avec la thématique du changement climatique. Trois tâches ont été proposées : (i) déterminer la polarité globale des tweets, (ii) identifier les classes génériques (opinion, sentiment, émotion, information) et spécifiques (parmi 18 classes) de ces tweets, et (iii) analyser la source, la cible et l'expression porteuse d'opinion, de sentiment ou d'émotion. Douze équipes ont participé. Les meilleurs résultats, en macro-précision, sont de 0,736 (polarité), 0,613 (classes génériques) et 0,347 (classes spécifiques). Aucun participant n'a soumis de données pour la dernière tâche. Les méthodes utilisées reposent majoritairement sur des approches par apprentissage statistique supervisé (SVM, Naïve Bayes, réseaux neuronaux, PPMC), et utilisent de nombreux lexiques d'opinions (ANEW, Casoar, Emotaix, Feel, Lidilem) et de polarités (Polarimots) comme traits. Abstract. Analysis of emotion, sentiment and opinion within tweets. Presentation and results of the 2015 DEFT text mining challenge The 2015 DEFT text mining challenge focused on opinion mining, emotion and sentiment analysis of messages from Twit-ter, on the climate change thematic. Three tasks were proposed : (i) determine the general polarity of tweets, (ii) identify generic classes (opinion, sentiment, emotion, information) and specific classes (among 18 classes) from these tweets, and (iii) analyze source, target, and opinion, sentiment, emotion focus. Twelve teams participated. The best results, in terms of macro-precision, are of 0.736 (polarity), 0.613 (generic classes) and 0.347 (specific classes). No run was submitted for the last task. The methods used by the participants mainly rely on statistical machine learning approaches (SVM, Naïve Bayes, neural network, PPMC), using several opinion lexicon (ANEW, Casoar, Emotaix, Feel, Lidilem) and polarity lexicon (Polarimots) as features. Mots-clés : Fouille d'opinion, analyse d'émotions, analyse de sentiments, réseaux sociaux, campagne d'évalua-tion.
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [INFO]Computer Science [cs]; Emotion analysis; NLP Challenge; Opinion mining; Sentiment Analysis; Social network
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URL: https://hal.archives-ouvertes.fr/hal-01617180/document https://hal.archives-ouvertes.fr/hal-01617180/file/deft-2015-long-001.pdf https://hal.archives-ouvertes.fr/hal-01617180
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Les interjections pour détecter les émotions
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In: Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles (TALN 2015) ; 22e conférence sur le Traitement Automatique des Langues Naturelles (TALN 2015) ; https://hal.archives-ouvertes.fr/hal-01617186 ; 22e conférence sur le Traitement Automatique des Langues Naturelles (TALN 2015), Jun 2015, Caen, France (2015)
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