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A Conformity Measure using Background Knowledge for Association Rules: Application to Text Mining
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In: Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction ; https://hal.inria.fr/inria-00437237 ; Yanchang Zhao and Chengqi Zhang and Longbing Cao. Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction, IGI Global, 2009, 978-1605664040 (2009)
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Incorporation of phonetic constraints in acoustic-to-articulatory inversion
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In: ISSN: 0001-4966 ; EISSN: 1520-8524 ; Journal of the Acoustical Society of America ; https://hal.inria.fr/inria-00112226 ; Journal of the Acoustical Society of America, Acoustical Society of America, 2008, 123 (4), pp.2310-2323. ⟨10.1121/1.2885747⟩ (2008)
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Lexical Structure for Dialogue Act Recognition
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In: ISSN: 1796-2048 ; Journal of Multimedia ; https://hal.inria.fr/inria-00184475 ; Journal of Multimedia, Academy Publisher, 2007, 2 (3), pp.1-8 (2007)
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Automatic Recognition of Dialogue Acts ; Reconnaissance automatique des actes de dialogue
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In: https://tel.archives-ouvertes.fr/tel-01748248 ; Modeling and Simulation. Université Henri Poincaré - Nancy 1, 2007. English. ⟨NNT : 2007NAN10114⟩ (2007)
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Abstract:
This thesis deals with automatic Dialogue Act (DA) recognition in Czech and in French. Dialogue acts are sentence-level labels that represent different states of a dialogue, such as questions, statements, hesitations, etc. The first main contribution of this work is to propose and compare several approaches that recognize dialogue acts based on three types of information: lexical, prosodic and word positions. These approaches are tested on the Czech Railways corpus that contains human-human dialogues, which are transcribed both manually and with an automatic speech recognizer for comparison. The experimental results confirmed that every type of feature (lexical, prosodic and word positions) bring relevant and somewhat complementary information. The proposed methods that take into account word positions are especially interesting, as they bring global information about the structure of a sentence, at the opposite of traditional n-gram models that only capture local cues. One of the main issue in the domain of automatic dialogue act recognition concerns the design of a fast and cheap method to label new corpora. The next main contribution is to apply the general semi-supervised training approach based on the Expectation Maximization algorithm to the task of labeling a new corpus with the pre-defined DAs. We further proposed to filter out the examples that might be incorrect by two confidence measures, namely the maximum a posteriori probability and the a posteriori probability difference methods. Experimental results showed that the proposed method is an efficient approach to create new dialogue act corpora at low costs. ; Ce mémoire concerne la reconnaissance automatique des Actes de Dialogues (ADs) en tchéque et en français. Les actes de dialogues sont des unités au niveau de la phrase qui représentent des différents états d'un dialogue, comme par exemple les questions, les affirmations, les hésitations, etc. La première contribution de ce travail est de proposer et comparer plusieurs approches de reconnaissance des actes de dialogues qui sont basées sur trois types d'informations : lexical, prosodique et relative à la position des mots dans une phrase. Ces approches ont eté testées sur un corpus tchèque de dialogues entre utilisateurs et personnel dans le domaine de la réservation de billets de chemins de fer. Ce corpus a été transcris en mots manuellement, et avec un moteur de reconnaissance automatique afin de valider les approches dans des conditions réelles. Les résultats expérimentaux confirment que chaque type d'attributs (lexical, prosodique et syntaxique de position) apporte des informations pertinentes et complémentaires. Les méthodes proposées qui exploitent la position des mots dans la phrase sont particulièrement intéresantes, parce qu'elles utilisent une information globale sur la structure de la phrase, alors que les modèles statistiques traditionnels de type n-gram modélisent seulement les dépendances locales. Une autre contribution conséquente, relative au manque de corpus étiquettés dans le domaine de la reconnaissance automatique des actes de dialoques, concerne le développement et l'étude de méthodes d'étiquetage semi-automatique de nouveaux corpus. Cette méthode est basée sur l'algorithme d'Espérance-Maximisation avec des ADs prédéfinis spécifiques à la tâche visée. Nous proposons deux mesures de confiance pour sélectionner les exemples qui ont le plus de chance d'être classifiés correctement : une mesure utilisant le critère de maximisation de la probabilité a posteriori, et une autre exploitant un critère basé sur une différence de probabilités a posteriori. Les résultats expérimentaux démontrent que la méthode proposée est une approche intéressante pour la création de nouveaux corpus d'actes de dialogues à moindre coût.
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Keyword:
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; cte de dialogue; dialog act; dialogue act; language model; modèle du language; prosodie; prosody; reconnaissance de la parole; speech recognition
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URL: https://tel.archives-ouvertes.fr/tel-01748248v2/document
https://tel.archives-ouvertes.fr/tel-01748248v2/file/thesis.pdf
https://tel.archives-ouvertes.fr/tel-01748248
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| 5 |
Generating models for temporal representations
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In: Recent Advances in Natural Language Processing - RANLP 2007 ; https://hal.inria.fr/inria-00179485 ; Recent Advances in Natural Language Processing - RANLP 2007, Sep 2007, Borovets, Bulgaria. pp.69-75 (2007)
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| 6 |
Automatic dialog acts recognition based on sentence structure
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In: IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP/2006 ; https://hal.archives-ouvertes.fr/hal-00078245 ; 2006, pp.61-64 (2006)
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| 7 |
Sentence structure for dialog act recognition in Czech
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In: 2nd IEEE International Conference on Information et Communication Technologies: from Theory to Applications - ICTTA´06 ; https://hal.archives-ouvertes.fr/hal-00078247 ; 2006 (2006)
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| 8 |
Fully Automated Non-Native Speech Recognition Using Confusion-Based Acoustic Model Integration And Graphemic Constraints
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In: IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2006 ; https://hal.inria.fr/inria-00110492 ; IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2006, May 2006, Toulouse/France (2006)
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| 9 |
Dynamic Topic Identification : Introduction of Trigger pairs in the Cache Model
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In: International Workshop Speech and Computer 2002 - SPECOM'2002 ; https://hal.inria.fr/inria-00100828 ; International Workshop Speech and Computer 2002 - SPECOM'2002, 2002, St-Petersburg, Russia, 4 p (2002)
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| 10 |
A comparative study of Topic Identification on Newspaper and E-mail
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In: Proceedings of the 8th International Symposium on String Processing and Information Retrieval - SPIRE'01 ; https://hal.inria.fr/inria-00107535 ; Proceedings of the 8th International Symposium on String Processing and Information Retrieval - SPIRE'01, 2001, Laguna de San Rafael, Chili, pp.238-241 (2001)
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| 11 |
Modélisation du langage pour les systèmes de reconnaissance de la parole : Application à MAUD
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In: ISSN: 1267-8015 ; In Cognito - Cahiers Romans de Sciences Cognitives ; https://hal.inria.fr/inria-00100648 ; In Cognito - Cahiers Romans de Sciences Cognitives, In Cognito, INPG, 46 Avenue Felix Viallet, 38031 Grenoble Cedex, 2001, pp.43-44 (2001)
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| 12 |
Experiment Analysis in Newspaper Topic Detection
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In: SPIRE 2000 - String Processing & Information Retrieval ; https://hal.inria.fr/inria-00099394 ; SPIRE 2000 - String Processing & Information Retrieval, 2000, A Coruna, Spain. pp.55 - 64 (2000)
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| 13 |
Specialized lexicography by means of a conceptual data base: establishing the format for a multilingual marine dictionary
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In: Second Conference on Maritime Terminology 2000 ; https://hal.inria.fr/inria-00099351 ; Second Conference on Maritime Terminology 2000, 2000, Turku, Finland. 17 p (2000)
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| 14 |
Variable-Length Class Sequences Based on a Hierarchical Approach: MCnv
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In: SCI 2000 - 4th Word Multiconference on Systemics, Cybertinics & Informatics ; https://hal.inria.fr/inria-00099045 ; SCI 2000 - 4th Word Multiconference on Systemics, Cybertinics & Informatics, Jul 2000, Orlando, United States. pp.6 (2000)
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| 15 |
Variable-Length Sequence Language Model for Large Vocabulary Continuous Dictation Machine
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In: 6th European Conference on Speech Communication and Technology - EUROSPEECH'99 ; https://hal.inria.fr/inria-00107585 ; 6th European Conference on Speech Communication and Technology - EUROSPEECH'99, 1999, Budapest, Hungary (1999)
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| 16 |
A New Based Distance Language Model for a Dictation Machine: application to MAUD
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In: 6th European Conference on Speech Communication & Technology - EUROSPEECH'99 ; https://hal.inria.fr/inria-00098984 ; 6th European Conference on Speech Communication & Technology - EUROSPEECH'99, 1999, Budapest, Hungary, pp.1779-1782 (1999)
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| 17 |
A new algorithm for Automatic Word Classification based on an Improved Simulated Annealing Technique
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In: The 5th International Conference on the Cognitive Science of Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01112891 ; The 5th International Conference on the Cognitive Science of Natural Language Processing, 1996, Dublin, Ireland (1996)
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| 18 |
MAUD : Une interface vocale pour la saisie de textes lus
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In: Informatique 93 - Interface to real and virtual worlds ; 2nd International conference Interface to real and virtual worlds ; https://hal.archives-ouvertes.fr/hal-00589668 ; 2nd International conference Interface to real and virtual worlds, Mar 1993, Montpellier, France. pp.311-318 (1993)
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