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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 12 of 12 1 IRISA at DeFT2017 : classification systems of increasing complexity ; Participation de l'IRISA à DeFT2017 : systèmes de classification de complexité croissante Claveau, Vincent; Raymond, Christian In: DeFT 2017 - Défi Fouille de texte ; https://hal.archives-ouvertes.fr/hal-01643993 ; DeFT 2017 - Défi Fouille de texte, Jun 2017, Orléans, France. pp.1-10 (2017) BASE Show details 2 IRISA at DeFT 2015: Supervised and Unsupervised Methods in Sentiment Analysis Vukotić, Vedran; Claveau, Vincent; Raymond, Christian In: DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015 ; https://hal.archives-ouvertes.fr/hal-01226528 ; DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015, Jun 2015, Caen, France (2015) Abstract: National audience ; In this work, we present the participation of IRISA Linkmedia team at DeFT 2015. The team participated in two tasks: i) valence classification of tweets and ii) fine-grained classification of tweets (which includes two sub-tasks: detection of the generic class of the information expressed in a tweet and detection of the specific class of the opinion/sentiment/emo-tion. For all three problems, we adopt a standard machine learning framework. More precisely, three main methods are proposed and their feasibility for the tasks is analyzed: i) decision trees with boosting (bonzaiboost), ii) Naive Bayes with Okapi and iii) Convolutional Neural Networks (CNNs). Our approaches are voluntarily knowledge free and text-based only, we do not exploit external resources (lexicons, corpora) or tweet metadata. It allows us to evaluate the interest of each method and of traditional bag-of-words representations vs. word embeddings. Mots-clés : Fouille d'opinion, apprentissage artificiel, boosting, apprentissage bayésien, plongement de mots. ; Cet article décrit la participation de l'équipe LinkMedia de l'IRISA à DeFT 2015. Notre équipe particpé à deux tâches : la classification en valence des tweets (tâche 1) et la classification à grain fin, elle même, décomposée en deux sous-tâches, à savoir la détection des classes génériques de l'information exprimée dans un tweet (tâche 2.1) et la classification des classes spécifiques (tâches 2.2) de l'émotion/sentiment/opinion exprimée. Pour ces trois tâches, nous adoptons une démarche d'apprentissage artificiel. Plus précisément, nous explorons l'intér de trois méthodes : i) le boosting d'arbres de décision, ii) l'apprentissage bayésien utilisant une technique issue de la recherche d'information, et iii) les réseaux neuronnaux convolutionnels. Nos approches n'exploitent aucune ressource externe (lexiques, corpus) et sont uniquement fondées sur le contenu textuel des tweets. Cela nous permet d'évaluer l'intérêt de chacune de ces méthodes, mais aussi des représentations qu'elles exploitent, à savoir les sacs-de-mots pour les deux premières et le plongement de mots (word embedding) pour les réseaux neuronaux. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; Bayesian learning; boosting; machine learning; Opinion mining; word embedding URL: https://hal.archives-ouvertes.fr/hal-01226528v2/file/IRISA_DEFT_2015.pdf https://hal.archives-ouvertes.fr/hal-01226528 https://hal.archives-ouvertes.fr/hal-01226528v2/document BASE Hide details 3 Boosting bonsai trees for efficient features combination : application to speaker role identification Laurent, Antoine; Camelin, Nathalie; Raymond, Christian In: Interspeech ; https://hal.inria.fr/hal-01025171 ; Interspeech, Sep 2014, Singapour, Singapore (2014) BASE Show details 4 Lexical-phonetic automata for spoken utterance indexing and retrieval Fayolle, Julien; Saraclar, Murat; Moreau, Fabienne... In: International Conference on Speech Communication and Technologies ; https://hal.archives-ouvertes.fr/hal-00757765 ; International Conference on Speech Communication and Technologies, Sep 2012, Portland, United States (2012) BASE Show details 5 Comparing stochastic approaches to spoken language understanding in multiple languages Hahn, Stefan; Moschitti, Alessandro; Lefevre, Fabrice... In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 6, 1569-1583 BLLDB OLC Linguistik Show details 6 Comparing stochastic approaches to spoken language understanding in multiple languages Hahn, Stefan; Dinarelli, Marco; Raymond, Christian... In: ISSN: 1558-7916 ; IEEE Transactions on Audio, Speech and Language Processing ; https://hal.inria.fr/hal-00746965 ; IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2011, 19 (6), pp.1569-1583 (2011) BASE Show details 7 On the Use of Machine Translation for Spoken Language Understanding Portability Servan, Christophe; Camelin, Nathalie; Raymond, Christian... In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.inria.fr/inria-00523967 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Mar 2010, Dallas, Texas, United States. pp.5330 - 5333, ⟨10.1109/ICASSP.2010.5494960⟩ ; http://ieeexplore.ieee.org/iel5/5487364/5494886/05494960.pdf (2010) BASE Show details 8 Sequential decision strategies for machine interpretation of speech Raymond, Christian; Béchet, Frédéric; Camelin, Nathalie... In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 1, 162-171 BLLDB Show details 9 The LUNA Corpus: an Annotation Scheme for a Multi-domain Multi-lingual Dialogue Corpus ... Raymond, Christian; Riccardi, Giuseppe; Rodríguez, Kepa Joseba. - : Unpublished, 2007 BASE Show details 10 On the use of finite state transducers for semantic interpretation Béchet, Frédéric; Raymond, Christian; De Mori, Renato... In: Speech communication. - Amsterdam [u.a.] : Elsevier 48 (2006) 3-4, 288-304 BLLDB OLC Linguistik Show details 11 Deaf children's understanding of the roles of speakers and listeners in face-to-face interaction Jeanes, Raymond Christian. - 2004 BASE Show details 12 On the use of linguistic consistency in systems for human-computer dialogues Estève, Yannick; Raymond, Christian; De Mori, Renato... In: Institute of Electrical and Electronics Engineers. IEEE transactions on speech and audio processing. - New York, NY : Inst. 11 (2003) 6, 746-756 BLLDB Show details

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