Latent topic modeling of word co-occurrence information for spoken document retrieval

Berlin Chen

doi:10.1109/ICASSP.2009.4960495

Latent topic modeling of word co-occurrence information for spoken document retrieval

Berlin Chen^*

^*Corresponding author for this work

Department of Computer Science and Information Engineering

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

27 Citations (Scopus)

Abstract

In this paper, we present a word topic model (WTM) approach, discovering the co-occurrence relationship between words as well as the long-span latent topic information, for spoken document retrieval (SDR). A given document as a whole is modeled as a composite WTM model for generating an observed query. The underlying characteristics and different kinds of model structures are extensively investigated, while the performance of WTM is thoroughly analyzed and verified by comparison with a few existing retrieval models on the TDT-2 SDR task. We also attempt to incorporate part-of-speech (POS) weighting into the representations of the query observations and the WTM models for obtaining better retrieval performance.

Original language	English
Title of host publication	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
Pages	3961-3964
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2009.4960495
Publication status	Published - 2009
Event	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, Taiwan Duration: 2009 Apr 19 → 2009 Apr 24

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Country/Territory	Taiwan
City	Taipei
Period	2009/04/19 → 2009/04/24

Keywords

Language model
Probabilistic latent semantic analysis
Spoken document retrieval
Word topic model

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2009.4960495

Cite this

Chen, B. (2009). Latent topic modeling of word co-occurrence information for spoken document retrieval. In 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009 (pp. 3961-3964). Article 4960495 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2009.4960495

Latent topic modeling of word co-occurrence information for spoken document retrieval. / Chen, Berlin.
2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009. 2009. p. 3961-3964 4960495 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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

Chen, B 2009, Latent topic modeling of word co-occurrence information for spoken document retrieval. in 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009., 4960495, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 3961-3964, 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, Taipei, Taiwan, 2009/04/19. https://doi.org/10.1109/ICASSP.2009.4960495

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Latent topic modeling of word co-occurrence information for spoken document retrieval

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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