Presentation | 2009/12/14 Topic Dependent Language Model based on On-Line Voting Welly Naptali, Masatoshi Tsuchiya, Seiichi Nakagawa, |
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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. |
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Committee | NLC |
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Conference Date | 2009/12/14(1days) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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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 |
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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 |
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Volume (vol) | vol.109 |
Number (no) | 355 |
Page | pp.pp.- |
#Pages | 6 |
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