Hybrid Code Networks using a convolutional neural network as an input layer achieves higher turn accuracy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332876" target="_blank" >RIV/68407700:21230/19:00332876 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/19:00332876
Result on the web
<a href="http://poseidon2.feld.cvut.cz/conf/poster/" target="_blank" >http://poseidon2.feld.cvut.cz/conf/poster/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Hybrid Code Networks using a convolutional neural network as an input layer achieves higher turn accuracy
Original language description
The dialogue management is a task of conversational artificial intelligence. The goal of the dialogue manager is to select the appropriate response to the conversational partner conditioned by the input message and recent dialogue state. Hybrid Code Networks is one of the models of dialogue managers, which uses an average of word embeddings and bag-of-words as input features. We perform experiments on Dialogue bAbI Task 6 and Alquist Conversational Dataset. The experiments show that the convolutional neural network used as an input layer of the Hybrid Code Network improves the model’s turn accuracy.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Proceedings of the International Student Scientific Conference Poster – 23/2019
ISBN
978-80-01-06581-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
160-163
Publisher name
ČVUT FEL, Středisko vědecko-technických informací
Place of publication
Praha
Event location
ČVUT FEL, Technická 2, Praha 6
Event date
May 23, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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