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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)
Abstract: International audience ; This paper deals with multilingual dialogue act (DA) recognition. The proposed approaches are based on deep neural networks and use word2vec embeddings for word representation. Two multilingual models are proposed for this task. The first approach uses one general model trained on the embeddings from all available languages. The second method trains the model on a single pivot language and a linear transformation method is used to project other languages onto the pivot language. The popular convolutional neural network and LSTM architectures with different setups are used as classifiers. To the best of our knowledge this is the first attempt at multilingual DA recognition using neural networks. The multilingual models are validated experimentally on two languages from the Verbmobil corpus.
Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; deep learning; dialogue act; Index Terms: CNN; LSTM; multi- linguality; word embeddings; word2vec
URL: https://doi.org/10.21437/Interspeech.2019-1691
https://hal.archives-ouvertes.fr/hal-02319818
https://hal.archives-ouvertes.fr/hal-02319818/document
https://hal.archives-ouvertes.fr/hal-02319818/file/1904.05606.pdf
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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)
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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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