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Are extractive text summarisation techniques portable to broadcast news?

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationAutomatic Speech Recognition and Understanding, 2003 IEEE Workshop on
Subtitle of host publicationASRU '03.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages489-494
ISBN (Print)0-7803-7980-2
DOIs
Publication statusPublished - 2003
Event2003 IEEE Workshop on Automatic Speech Recognition and Understanding - St. Thomas, Virgin Islands, U.S.
Duration: 30 Nov 20034 Dec 2003

Workshop

Workshop2003 IEEE Workshop on Automatic Speech Recognition and Understanding
CountryVirgin Islands, U.S.
CitySt. Thomas
Period30/11/034/12/03

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.

Event

2003 IEEE Workshop on Automatic Speech Recognition and Understanding

30/11/034/12/03

St. Thomas, Virgin Islands, U.S.

Event: Workshop

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