Presentation 2009/12/14
Topic Dependent Language Model based on On-Line Voting
Welly Naptali, Masatoshi Tsuchiya, Seiichi Nakagawa,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose an alternative approach to a topic dependent language model(LM), where the topic is decided by voting in an unsupervised manner. Latent Semantic Analysis(LSA)is employed to reveal hidden(latent)relations among nouns in the context word sequence. To decide the topic of an event, a fixed size word history sequence(window)is observed, and voting is then carried out based on noun class occurrences weighted by a confidence measure. Experiments on the Wall Street Journal corpus and Mainichi Shimbun(Japanese newspaper)corpus show that our proposed method gives better perplexity than the comparative baselines, including a word-based/class-based n-gram LM, their interpolated LM, a cache-based LM, and the Latent Dirichlet Allocation(LDA)-based topic dependent LM.
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper #
Date of Issue

Conference Information
Committee NLC
Conference Date 2009/12/14(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Topic Dependent Language Model based on On-Line Voting
Sub Title (in English)
Keyword(1)
1st Author's Name Welly Naptali
1st Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology()
2nd Author's Name Masatoshi Tsuchiya
2nd Author's Affiliation Information and Media Center, Toyohashi University of Technology
3rd Author's Name Seiichi Nakagawa
3rd Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology
Date 2009/12/14
Paper #
Volume (vol) vol.109
Number (no) 355
Page pp.pp.-
#Pages 6
Date of Issue