Mandarin Chinese broadcast news retrieval and summarization using probabilistic generative models

Hsin Min Wang, Berlin Chen

研究成果: 會議貢獻類型會議論文同行評審

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
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/地區日本
城市Sapporo
期間2009/10/042009/10/07

ASJC Scopus subject areas

  • 電腦網路與通信
  • 資訊系統
  • 電氣與電子工程
  • 通訊

指紋

深入研究「Mandarin Chinese broadcast news retrieval and summarization using probabilistic generative models」主題。共同形成了獨特的指紋。

引用此