DocumentCode :
3245738
Title :
Exploring the style-technique interaction in extractive summarization of broadcast news
Author :
Kolluru, BalaKrishna ; Christensen, Heidi ; Gotoh, Yoshihiko ; Renals, Steve
Author_Institution :
Dept. of Comput. Sci., Univ. of Sheffield, UK
fYear :
2003
fDate :
30 Nov.-3 Dec. 2003
Firstpage :
495
Lastpage :
500
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 difficulty 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 co-reference resolution in a news story, on the performance of these summarizers.
Keywords :
document handling; speech processing; speech recognition; automatic summarizers; broadcast news; co-reference resolution; document summarization; extractive summarization; named entities; performance; planned speech; spontaneous speech; style-technique interaction; Broadcasting; Compaction; Computer science; Data mining; Frequency measurement; Humans; Joining processes; Natural languages; Speech recognition; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Speech Recognition and Understanding, 2003. ASRU '03. 2003 IEEE Workshop on
Print_ISBN :
0-7803-7980-2
Type :
conf
DOI :
10.1109/ASRU.2003.1318490
Filename :
1318490
Link To Document :
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