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Minimally supervised question classification and answering based on WordNet and Wikipedia
Abstract In this paper, we introduce an automatic mIn this paper, we introduce an automatic method for classifying a given question using broad semantic categories in an existing lexical database (i.e., WordNet) as the class tagset. For this, we also constructed a large scale entity supersense database that contains over 1.5 million entities to the 25 WordNet lexicographer's files (supersenses) from titles of Wikipedia entry. To show the usefulness of our work, we implement a simple redundancy-based system that takes the advantage of the large scale semantic database to perform question classification and named entity classification for open domain question answering. Experimental results show that the proposed method outperform the baseline of not using question classification.line of not using question classification.
Abstractsub In this paper, we introduce an automatic mIn this paper, we introduce an automatic method for classifying a given question using broad semantic categories in an existing lexical database (i.e., WordNet) as the class tagset. For this, we also constructed a large scale entity supersense database that contains over 1.5 million entities to the 25 WordNet lexicographer's files (supersenses) from titles of Wikipedia entry. To show the usefulness of our work, we implement a simple redundancy-based system that takes the advantage of the large scale semantic database to perform question classification and named entity classification for open domain question answering. Experimental results show that the proposed method outperform the baseline of not using question classification.line of not using question classification.
Bibtextype inproceedings  +
Has author Jian Chang + , Yen T.-H. + , Tsai R.T.-H. +
Has extra keyword Question answering + , Question classification + , Semantic category + , Wikipedia + , Wordnet + , Classification (of information) + , Computational linguistics + , Natural language processing systems + , Ontology + , Semantics + , Speech processing + , Websites +
Has keyword Question answering + , Question classification + , Semantic category + , Wikipedia + , Wordnet +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 209–221  +
Published in Proceedings of the 21st Conference on Computational Linguistics and Speech Processing, ROCLING 2009 +
Title Minimally supervised question classification and answering based on WordNet and Wikipedia +
Type conference paper  +
Year 2009 +
Creation dateThis property is a special property in this wiki. 7 November 2014 23:22:28  +
Categories Publications without license parameter  + , Publications without DOI parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 23:22:28  +
DateThis property is a special property in this wiki. 2009  +
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Minimally supervised question classification and answering based on WordNet and Wikipedia + Title
 

 

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