Multi-lingual Dialogue Act Recognition with Deep Learning Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43956088" target="_blank" >RIV/49777513:23520/19:43956088 - isvavai.cz</a>
Result on the web
<a href="https://www.isca-speech.org/archive/Interspeech_2019/pdfs/1691.pdf" target="_blank" >https://www.isca-speech.org/archive/Interspeech_2019/pdfs/1691.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2019-1691" target="_blank" >10.21437/Interspeech.2019-1691</a>
Alternative languages
Result language
angličtina
Original language name
Multi-lingual Dialogue Act Recognition with Deep Learning Methods
Original language description
This paper deals with multi-lingual dialogue act (DA) recognition. The proposed approaches are based on deep neural networks and use word2vec embeddings for word representation. Two multi-lingual 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 set-ups are used as classifiers. To the best of our knowledge this is the first attempt at multi-lingual DA recognition using neural networks. The multi-lingual models are validated experimentally on two languages from the Verbmobil corpus.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF17_048%2F0007267" target="_blank" >EF17_048/0007267: Research and Development of Intelligent Components of Advanced Technologies for the Pilsen Metropolitan Area (InteCom)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
20th Annual Conference of the International Speech Communication, Interspeech 2019
ISBN
978-1-5108-9683-3
ISSN
2308-457X
e-ISSN
—
Number of pages
5
Pages from-to
1463-1467
Publisher name
International Speech Communication Association (ISCA)
Place of publication
Baixas
Event location
Graz
Event date
Sep 15, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—