DocumentCode
3245681
Title
Are extractive text summarisation techniques portable to broadcast news?
Author
Christensen, Heidi ; Gotoh, Yoshihiko ; Kolluru, B. ; Renals, Steve
Author_Institution
Dept. of Comput. Sci., Univ. of Sheffield, UK
fYear
2003
fDate
30 Nov.-3 Dec. 2003
Firstpage
489
Lastpage
494
Abstract
In this paper we report on a series of experiments which compare the effect of individual features on both text and speech summarisation, the effect of basing the speech summaries on automatic speech recognition transcripts with varying word error rates, and the effect of summarisation approach and transcript source on summary quality. We show that classical text summarisation features (based on stylistic and content information) are portable to broadcast news. However, the quality of the speech transcripts as well as the difference in information structure between broadcast and newspaper news affect the usability of the individual features.
Keywords
error statistics; feature extraction; speech recognition; text analysis; automatic speech recognition transcripts; broadcast news; extractive text summarisation techniques; feature portability; summary quality; transcript source; varying word error rates; Automatic speech recognition; Computer science; Data mining; Error analysis; Knowledge transfer; Natural languages; Speech recognition; TV broadcasting; Text recognition; Usability;
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.2003.1318489
Filename
1318489
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