NDLI: A margin-based discriminative modeling approach for extractive speech summarization

Content Provider	IEEE Xplore Digital Library
Author	Shih-Hung Liu Kuan-Yu Chen Berlin Chen Ea-Ee Jan Hsin-Min Wang Hsu-Chun Yen Wen-Lian Hsu
Copyright Year	2014
Description	Author affiliation: Inst. of Inf. Sci., Taipei, Taiwan (Kuan-Yu Chen; Hsin-Min Wang; Wen-Lian Hsu) \|\| Nat. Taiwan Univ., Taipei, Taiwan (Shih-Hung Liu; Hsu-Chun Yen) \|\| Nat. Taiwan Normal Univ., Taipei, Taiwan (Berlin Chen) \|\| IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA (Ea-Ee Jan)
Abstract	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.
Starting Page	1
Ending Page	6
File Size	219440
Page Count	6
File Format	PDF
ISBN	9786163618238
DOI	10.1109/APSIPA.2014.7041591
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-09
Publisher Place	Cambodia
Access Restriction	Subscribed
Rights Holder	Asia-Pacific Signal and Information Processing Ass
Subject Keyword	Integrated circuits
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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