Tree Distance in Answer Retrieval and Parser Evaluation

Martin Emms

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Paper

Tree Distance in Answer Retrieval and Parser Evaluation

In Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science - Volume 0ICEIS, 155-160, 2005 , Miami, United States

Author: Martin Emms

Affiliation: Trinity College, Ireland

Abstract: The use of syntactic tree-distance as a surrogate for semantic distance in an answer retrieval task is investigated. The feasibility of this is confirmed by showing that retrieval performance increases with parse quality, and an application of this to parser evaluation is discussed. Variant definitions of tree-distance involving parameters such as whole vs sub-tree, node weighting, wild-card trees and lexical emphasis are compared with each other and with sub-string distance.

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Paper citation in several formats:

Emms, M. (2005). Tree Distance in Answer Retrieval and Parser Evaluation. In Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science (ICEIS 2005) - NLUCS; ISBN 972-8865-23-6X, SciTePress, pages 155-160. DOI: 10.5220/0002565101550160

@conference{nlucs05,
author={Martin Emms.},
title={Tree Distance in Answer Retrieval and Parser Evaluation},
booktitle={Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science (ICEIS 2005) - NLUCS},
year={2005},
pages={155-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002565101550160},
isbn={972-8865-23-6X},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science (ICEIS 2005) - NLUCS
TI - Tree Distance in Answer Retrieval and Parser Evaluation
SN - 972-8865-23-6X
AU - Emms, M.
PY - 2005
SP - 155
EP - 160
DO - 10.5220/0002565101550160
PB - SciTePress