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Using Participant Role in Multiparty Meetings as Prior Knowledge for Nonparametric Topic Modeling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProc. ICML/UAI/COLT Workshop on Prior Knowledge for Text and Language Processing
Pages21-24
Number of pages4
Publication statusPublished - 2008

Abstract

In this paper we introduce our attempts to incorporate the participant role information in multiparty meetings for document modeling using the hierarchical Dirichlet process. The perplexity and automatic speech recognition results demonstrate that the participant role information is a promising prior knowledge source to be combined with language models for automatic speech recognition and interaction modeling for multiparty meetings.

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