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Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/1106

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Title: Exploring the style-technique interaction in extractive summarization of broadcast news.
Authors: Kolluru, BalaKrishna
Christensen, Heidi
Gotoh, Yoshihiko
Renals, Steve
Issue Date: 2003
Citation: In Proc. IEEE Automatic Speech Recognition and Understanding Workshop, 2003.
Publisher: IEEE Signal Processing Society Press
Abstract: In this paper we seek to explore the interaction between the style of a broadcast news story and its summarization technique. We report the performance of three different summarization techniques on broadcast news stories, which are split into planned speech and spontaneous speech. The initial results indicate that some summarization techniques work better for the documents with spontaneous speech than for those with planned speech. Even for human beings some documents are inherently difficult to summarize. We observe this correlation between degree of dif culty in summarizing and performance of the three automatic summarizers. Given the high frequency of named entities in broadcast news and even greater number of references to these named entities, we also gauge the effect of named entity and coreference resolution in a news story, on the performance of these summarizers.
Keywords: Speech Recognition
broadcast news
spontaneous speech
planned speech
URI: http://hdl.handle.net/1842/1106
Appears in Collections:CSTR publications

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