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Authors: Alejandro Figueroa and Günter Neumann

Affiliation: Deutsches Forschungszentrum für Künstliche Intelligenz - DFKI, Germany

ISBN: 978-989-8111-27-2

Keyword(s): Web Mining, Question Answering, List Questions, Distinct Answers.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Soft Computing ; Symbolic Systems ; Web Mining

Abstract: This paper presents ListWebQA , a question answering system aimed specifically at discovering answers to list questions in web snippets. ListWebQA retrieves snippets likely to contain answers by means of a query rewriting strategy, and extracts answers according to their syntactic and semantic similarities afterwards. These similarities are determined by means of a set of surface syntactic patterns and a Latent Semantic Kernel. Results show that our strategy is effective in strengthening current web question answering techniques.

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Paper citation in several formats:
Figueroa A.; Neumann G. and (2008). FINDING DISTINCT ANSWERS IN WEB SNIPPETS.In Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8111-27-2, pages 26-33. DOI: 10.5220/0001518900260033

@conference{webist08,
author={Alejandro Figueroa and Günter Neumann},
title={FINDING DISTINCT ANSWERS IN WEB SNIPPETS},
booktitle={Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2008},
pages={26-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001518900260033},
isbn={978-989-8111-27-2},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - FINDING DISTINCT ANSWERS IN WEB SNIPPETS
SN - 978-989-8111-27-2
AU - Figueroa, A.
AU - Neumann, G.
PY - 2008
SP - 26
EP - 33
DO - 10.5220/0001518900260033

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