TEXT SEGMENTATION USING NAMED ENTITY RECOGNITION AND CO-REFERENCE RESOLUTION

Pavlina Fragkou

Abstract

In this paper we examine the benefit of performing named entity recognition and co-reference resolution to a benchmark used for text segmentation. The aim here is to examine whether the incorporation of such information enhances the performance of text segmentation algorithms. The evaluation using three well known text segmentation algorithms leads to the conclusion that, the benefit highly depends on the segment's topic, the number of named entity instances appearing in it, as well as the segment's length.

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Paper Citation


in Harvard Style

Fragkou P. (2011). TEXT SEGMENTATION USING NAMED ENTITY RECOGNITION AND CO-REFERENCE RESOLUTION . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 349-354. DOI: 10.5220/0003181603490354


in Bibtex Style

@conference{icaart11,
author={Pavlina Fragkou},
title={TEXT SEGMENTATION USING NAMED ENTITY RECOGNITION AND CO-REFERENCE RESOLUTION},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={349-354},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003181603490354},
isbn={978-989-8425-40-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - TEXT SEGMENTATION USING NAMED ENTITY RECOGNITION AND CO-REFERENCE RESOLUTION
SN - 978-989-8425-40-9
AU - Fragkou P.
PY - 2011
SP - 349
EP - 354
DO - 10.5220/0003181603490354