Mining web snippets to answer list questions

Authors:
Alejandro Figueroa;Günter Neumann
Affiliations:
Deutsches Forschungszentrum für Künstliche Intelligenz - DFKI, Saarbrücken, Germany;Deutsches Forschungszentrum für Künstliche Intelligenz - DFKI, Saarbrücken, Germany
Venue:
AIDM '07 Proceedings of the 2nd international workshop on Integrating artificial intelligence and data mining - Volume 84
Year:
2007

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Abstract

This paper presents ListWebQA, a question answering system that is aimed specifically at extracting answers to list questions exclusively from web snippets. Answers are identified in web snippets by means of their semantic and syntactic similarities. Initial results show that they are a promising source of answers to list questions.