The Web as a Source of Evidence for Filtering Candidate Answers to Natural Language Questions

Identifying and extracting named entities from web pages has been the subject of many researches. In this paper, we propose and evaluate some new unsupervised language modeling approaches to determine the membership level of a candidate answer, a named entity, to a natural language question to a ver...

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Veröffentlicht in:2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Jg. 1; S. 63 - 66
Hauptverfasser: Bonnefoy, L., Bellot, P., Benoit, M.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.08.2011
Schlagworte:
Computational modeling
Engines
Information filtering
Information retrieval
Natural language processing
Ontologies
Organizations
Question-Answering
Smoothing methods
TREC Entity
Web pages
Web search
ISBN:9781457713736, 145771373X
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Zusammenfassung:Identifying and extracting named entities from web pages has been the subject of many researches. In this paper, we propose and evaluate some new unsupervised language modeling approaches to determine the membership level of a candidate answer, a named entity, to a natural language question to a very fine-grained conceptual class of entity. We propose to address this issue by using the Web or DBPedia hierarchy as sources of evidence. Then, this level of membership can be used to improve the ranking of candidate answers in a question-answering task. Lastly, we present the results we obtained by participating in TREC 2010 Entity track.
ISBN:9781457713736
145771373X
DOI:10.1109/WI-IAT.2011.226