Tracker Text Segmentation Approach: Integrating Complex Lexical and Conversation Cue Features

C. Chibelushi; B. Sharp

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Paper

Tracker Text Segmentation Approach: Integrating Complex Lexical and Conversation Cue Features

In Proceedings of the 5th International Workshop on Natural Language Processing and Cognitive Science - Volume 0ICEIS, 104-113, 2008 , Barcelona, Portugal

Authors: C. Chibelushi ¹ and B. Sharp ²

Affiliations: ¹ School of Computing and IT, University of Wolverhampton, United Kingdom ; ² Faculty of Computing Engineering and Technology, Staffordshire University, United Kingdom

Abstract: While text segmentation is a topic which has received a great attention since 9/11, most of current research projects remain focused on expository texts, stories and broadcast news. Current segmentation methods are well suited for written and structured texts making use of their distinctive macro-level structures. Text segmentation of transcribed multi-party conversation presents a different challenge given the lack of linguistic features such as headings, paragraph, and well formed sentences. This paper describes an algorithm suited for transcribed meeting conversations combining semantically complex lexical relations with conversational cue phrases to build lexical chains in determining topic boundaries.

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Paper citation in several formats:

Chibelushi, C. and Sharp, B. (2008). Tracker Text Segmentation Approach: Integrating Complex Lexical and Conversation Cue Features. In Proceedings of the 5th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2008) - NLPCS; ISBN 978-989-8111-45-6, SciTePress, pages 104-113. DOI: 10.5220/0001740501040113

@conference{nlpcs08,
author={C. Chibelushi. and B. Sharp.},
title={Tracker Text Segmentation Approach: Integrating Complex Lexical and Conversation Cue Features},
booktitle={Proceedings of the 5th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2008) - NLPCS},
year={2008},
pages={104-113},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001740501040113},
isbn={978-989-8111-45-6},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2008) - NLPCS
TI - Tracker Text Segmentation Approach: Integrating Complex Lexical and Conversation Cue Features
SN - 978-989-8111-45-6
AU - Chibelushi, C.
AU - Sharp, B.
PY - 2008
SP - 104
EP - 113
DO - 10.5220/0001740501040113
PB - SciTePress