NDLI: Latent semantic modeling for slot filling in conversational understanding

Content Provider	IEEE Xplore Digital Library
Author	Tur, G. Celikyilmaz, A. Hakkani-Tur, D.
Copyright Year	2013
Description	Author affiliation: Microsoft Silicon Valley, CA, USA (Tur, G.; Celikyilmaz, A.; Hakkani-Tur, D.)
Abstract	In this paper, we propose a new framework for semantic template filling in a conversational understanding (CU) system. Our method decomposes the task into two steps: latent n-gram clustering using a semi-supervised latent Dirichlet allocation (LDA) and sequence tagging for learning semantic structures in a CU system. Latent semantic modeling has been investigated to improve many natural language processing tasks such as syntactic parsing or topic tracking. However, due to several complexity problems caused by issues involving utterance length or dialog corpus size, it has not been analyzed directly for semantic parsing tasks. In this paper, we propose extending the LDA by introducing prior knowledge we obtain from semantic knowledge bases. Then, the topic posteriors obtained from the new LDA model are used as additional constraints to a sequence learning model for the semantic template filling task. The experimental results show significant performance gains on semantic slot filling models when features from latent semantic models are used in a conditional random field (CRF).
Starting Page	8307
Ending Page	8311
File Size	597733
Page Count	5
File Format	PDF
ISBN	9781479903566
ISSN	15206149
DOI	10.1109/ICASSP.2013.6639285
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantics Motion pictures Hidden Markov models Context Training Context modeling Probabilistic logic graphical models spoken language understanding slot filling latent semantic modeling
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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