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Text segmentation of spoken meeting transcripts

SHARP, Bernadette and CHIBELUSHI, Caroline (2008) Text segmentation of spoken meeting transcripts. International Journal of Speech Technology, 11 (3-4). pp. 157-165. ISSN 1381-2416

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Abstract or description

Text segmentation has played an important role in information retrieval as well as natural language processing. Current segmentation methods are well suited for written and structured texts making use of their distinctive macro-level structures; however text segmentation of transcribed multi-party conversation presents a different challenge given its ill-formed sentences and the lack of macro-level text units. This paper describes an algorithm suitable for segmenting spoken meeting transcripts combining semantically complex lexical relations with speech cue phrases to build lexical chains in determining topic boundaries.

Item Type: Article
Faculty: Previous Faculty of Computing, Engineering and Sciences > Computing
Depositing User: Prof Bernadette SHARP
Date Deposited: 30 Apr 2013 14:16
Last Modified: 24 Feb 2023 03:46

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