Convolutional Neural Networks for Dialogue State Tracking without Pre-Trained Word Vectors or Semantic Dictionaries

Mandy Korpusik; James Glass

doi:10.1109/SLT.2018.8639559

Convolutional Neural Networks for Dialogue State Tracking without Pre-Trained Word Vectors or Semantic Dictionaries

Mandy Korpusik, James Glass

MIT Computer Science & Artificial Intelligence Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	884-891
Number of pages	8
ISBN (Electronic)	9781538643341
DOIs	https://doi.org/10.1109/SLT.2018.8639559
State	Published - Jul 2 2018
Externally published	Yes
Event	2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Athens, Greece Duration: Dec 18 2018 → Dec 21 2018

Publication series

Name	2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings

Conference

Conference	2018 IEEE Spoken Language Technology Workshop, SLT 2018
Country/Territory	Greece
City	Athens
Period	12/18/18 → 12/21/18

ASJC Scopus Subject Areas

Computer Vision and Pattern Recognition
Human-Computer Interaction
Linguistics and Language

Keywords

Convolutional Neural Networks
Dialogue State Tracking
Semantic Dictionaries
Word Vectors

Access to Document

10.1109/SLT.2018.8639559

Cite this

Korpusik, M., & Glass, J. (2018). Convolutional Neural Networks for Dialogue State Tracking without Pre-Trained Word Vectors or Semantic Dictionaries. In 2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings (pp. 884-891). Article 8639559 (2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SLT.2018.8639559

Convolutional Neural Networks for Dialogue State Tracking without Pre-Trained Word Vectors or Semantic Dictionaries. / Korpusik, Mandy; Glass, James.
2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 884-891 8639559 (2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Korpusik, M & Glass, J 2018, Convolutional Neural Networks for Dialogue State Tracking without Pre-Trained Word Vectors or Semantic Dictionaries. in 2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings., 8639559, 2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 884-891, 2018 IEEE Spoken Language Technology Workshop, SLT 2018, Athens, Greece, 12/18/18. https://doi.org/10.1109/SLT.2018.8639559

Korpusik M, Glass J. Convolutional Neural Networks for Dialogue State Tracking without Pre-Trained Word Vectors or Semantic Dictionaries. In 2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 884-891. 8639559. (2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings). doi: 10.1109/SLT.2018.8639559

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Convolutional Neural Networks for Dialogue State Tracking without Pre-Trained Word Vectors or Semantic Dictionaries

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this