Mandarin Chinese broadcast news retrieval and summarization using probabilistic generative models

Hsin Min Wang, Berlin Chen

研究成果: 會議貢獻類型

摘要

This paper presents our recent research work on applying probabilistic generative models to Mandarin Chinese broadcast news retrieval and summarization. Most models can be trained in either a supervised or unsupervised manner. In addition, both literal term matching and concept matching strategies have been intensively investigated. This paper also presents a prototype web-based Mandarin Chinese broadcast news retrieval system, which is based on technologies such as automatic story segmentation, automatic speech recognition, spoken document retrieval and summarization.

原文英語
頁面331-337
頁數7
出版狀態已發佈 - 2009 十二月 1
事件Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009 - Sapporo, 日本
持續時間: 2009 十月 42009 十月 7

其他

其他Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009
國家日本
城市Sapporo
期間09/10/409/10/7

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Electrical and Electronic Engineering
  • Communication

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  • 引用此

    Wang, H. M., & Chen, B. (2009). Mandarin Chinese broadcast news retrieval and summarization using probabilistic generative models. 331-337. 論文發表於 Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009, Sapporo, 日本.