A margin-based discriminative modeling approach for extractive speech summarization

Shih Hung Liu, Kuan Yu Chen, Berlin Chen, Ea Ee Jan, Hsin Min Wang, Hsu Chun Yen, Wen Lian Hsu

研究成果: 書貢獻/報告類型會議論文篇章

4 引文 斯高帕斯(Scopus)

摘要

The task of extractive speech summarization is to select a set of salient sentences from an original spoken document and concatenate them to form a summary, facilitating users to better browse through and understand the content of the document. In this paper we present an empirical study of leveraging various supervised discriminative methods for effectively ranking important sentences of a spoken document to be summarized. In addition, we propose a novel margin-based discriminative training (MBDT) algorithm that aims to penalize non-summary sentences in an inverse proportion to their summarization evaluation scores, leading to better discrimination from the desired summary sentences. By doing so, the summarization model can be trained with an objective function that is closely coupled with the ultimate evaluation metric of extractive speech summarization. Furthermore, sentences of spoken documents are embodied by a wide range of prosodie, lexical and relevance features, whose utilities are extensively compared and analyzed. Experiments conducted on a Mandarin broadcast news summarization task demonstrate the performance merits of our summarization method when compared to several well-studied state-of-the-art supervised and unsupervised methods.

原文英語
主出版物標題2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9786163618238
DOIs
出版狀態已發佈 - 2014 二月 12
事件2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, 泰国
持續時間: 2014 十二月 92014 十二月 12

出版系列

名字2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

其他

其他2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
國家泰国
城市Chiang Mai
期間2014/12/092014/12/12

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems

指紋 深入研究「A margin-based discriminative modeling approach for extractive speech summarization」主題。共同形成了獨特的指紋。

引用此