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1
Multi-Lingual Dialogue Act Recognition with Deep Learning Methods
In: Interspeech 2019 ; https://hal.archives-ouvertes.fr/hal-02319818 ; Interspeech 2019, Sep 2019, Graz, Austria. ⟨10.21437/Interspeech.2019-1691⟩ (2019)
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2
Multi-lingual Dialogue Act Recognition with Deep Learning Methods ...
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3
On the Effects of Using word2vec Representations in Neural Networks for Dialogue Act Recognition
In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.archives-ouvertes.fr/hal-01581410 ; Computer Speech and Language, Elsevier, 2018, 47, pp.175 - 193. ⟨10.1016/j.csl.2017.07.009⟩ (2018)
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4
Czech Text Document Corpus v 2.0
Král, Pavel; Lenc, Ladislav. - : European Language Resources Association (ELRA), 2018
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5
Deep Neural Networks for Czech Multi-label Document Classification ...
Lenc, Ladislav; Král, Pavel. - : arXiv, 2017
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6
Investigation of word senses over time using linguistic corpora
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7
Dialogue act recognition approaches
In: ISSN: 1335-9150 ; Computing and Informatics ; https://hal.inria.fr/inria-00431396 ; Computing and Informatics, Slovak University Press, Bratislava, 2010, 29 (2), pp.227--250 (2010)
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8
Lexical Structure for Dialogue Act Recognition
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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9
Automatic Recognition of Dialogue Acts ; Reconnaissance automatique des actes de dialogue
Kral, Pavel. - : HAL CCSD, 2007
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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10
Sentence Modality Recognition In French Based On Prosody ...
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11
Sentence Modality Recognition In French Based On Prosody ...
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12
Automatic Recognition of Dialogue Acts ; Reconnaissance automatique des actes de dialogue
Král, Pavel. - 2007
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13
Automatic dialog acts recognition based on sentence structure
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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14
Automatic Dialog Acts Recognition based on Words Clusters
In: 9th Western Pacific Acoustics Conference - WESPAC IX 2006 ; https://hal.archives-ouvertes.fr/hal-00086310 ; 2006, 6 p (2006)
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15
Sentence structure for dialog act recognition in Czech
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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16
Combination of classifiers for automatic recognition of dialog acts
In: Proceedings of the 9th European Conference on Speech Communication and Technology - Interspeech - Eurospeech 2005 - Lisbon, Portugal ; https://hal.archives-ouvertes.fr/hal-00013940 ; 2005, pp.825-828 (2005)
Abstract: This paper deals with automatic dialog acts (DAs) recognition in Czech. The dialog acts are sentence-level labels that represent different states of a dialogue, depending on the application. Our work focuses on two applications: a multimodal reservation system and an animated talking head for hearing-impaired people. In that context, we consider the following DAs: statements, orders, yes/no questions and other questions. We propose to use both lexical and prosodic information for DAs recognition. The main goal of this paper is to compare different methods to combine the results of both classifiers. On a Czech corpus simulating a reservation of train tickets, the lexical information only gives about 92 % of classification accuracy, while prosody gives only about 45 % of accuracy. When both classifiers are combined with a multilayer perceptron, the lowest (lexical) word error rate further decreases by 26 %. We show that this improvement is close to the optimal one, given the correlation of the lexical and prosodic features. The other combination schemes do not outperform the lexical-only results.
Keyword: [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
URL: https://hal.archives-ouvertes.fr/hal-00013940
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17
Analysis of Importance of the prosodic Features for Automatic Sentence Modality Recognition in French in real Conditions
In: WSEAS International Conference on Electronics, Control and Signal Processing - ICECS'04 ; https://hal.inria.fr/inria-00100102 ; WSEAS International Conference on Electronics, Control and Signal Processing - ICECS'04, Nov 2004, Crete, Greece, pp.1820-1824 (2004)
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