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Authors: Gang Liu ; Zhi Lu ; Tianyong Hao and Liu Wenyin

Affiliation: City University of Hong Kong, Hong Kong

ISBN: 978-989-674-025-2

Keyword(s): Text annotation, Similarity, Question answering, Tagger ontology.

Abstract: An automatic annotation method for annotating text with semantic labels is proposed for question answering systems. The approach first extracts the keywords from a given question. Semantic label selection module is then employed to select the semantic labels to tag keywords. In order to distinguish multi-senses and assigns best semantic labels, a Bayesian based method is used by referring to historically annotated questions. If there is no appropriate label, WordNet is then employed to obtain candidate labels by calculating the similarity between each keyword in the question and the concept list in our predefined Tagger Ontology. Experiments on 6 categories show that this annotation method achieves the precision of 76% in average.

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Paper citation in several formats:
Liu G., Lu Z., Hao T. and Wenyin L. (2010). AUTOMATIC TEXT ANNOTATION FOR QUESTIONS.In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST, ISBN 978-989-674-025-2, pages 227-236. DOI: 10.5220/0002796702270236

@conference{webist10,
author={Gang Liu and Zhi Lu and Tianyong Hao and Liu Wenyin},
title={AUTOMATIC TEXT ANNOTATION FOR QUESTIONS},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,},
year={2010},
pages={227-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002796702270236},
isbn={978-989-674-025-2},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,
TI - AUTOMATIC TEXT ANNOTATION FOR QUESTIONS
SN - 978-989-674-025-2
AU - Liu G.
AU - Lu Z.
AU - Hao T.
AU - Wenyin L.
PY - 2010
SP - 227
EP - 236
DO - 10.5220/0002796702270236

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