TEXT SEGMENTATION USING NAMED ENTITY RECOGNITION AND CO-REFERENCE RESOLUTION

Pavlina Fragkou

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Paper

TEXT SEGMENTATION USING NAMED ENTITY RECOGNITION AND CO-REFERENCE RESOLUTION

Topics: Machine Learning; Natural Language Processing

In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 349-354, 2011 , Rome, Italy

Author: Pavlina Fragkou

Affiliation: Technological Educational Institution of Athens (TEI-A), Greece

Keyword(s): Text segmentation, Named entity recognition, Co-reference resolution, Information extraction.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Machine Learning ; Natural Language Processing ; Pattern Recognition ; Soft Computing ; Symbolic Systems

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 several formats:

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 2: ICAART; ISBN 978-989-8425-40-9; ISSN 2184-433X, SciTePress, pages 349-354. DOI: 10.5220/0003181603490354

@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 2: ICAART},
year={2011},
pages={349-354},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003181603490354},
isbn={978-989-8425-40-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - TEXT SEGMENTATION USING NAMED ENTITY RECOGNITION AND CO-REFERENCE RESOLUTION
SN - 978-989-8425-40-9
IS - 2184-433X
AU - Fragkou, P.
PY - 2011
SP - 349
EP - 354
DO - 10.5220/0003181603490354
PB - SciTePress