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Harnessing different knowledge sources to measure semantic relatedness under a uniform model
Abstract Measuring semantic relatedness between worMeasuring semantic relatedness between words or concepts is a crucial process to many Natural Language Processing tasks. Exiting methods exploit semantic evidence from a single knowledge source, and are predominantly evaluated only in the general domain. This paper introduces a method of harnessing different knowledge sources under a uniform model for measuring semantic relatedness between words or concepts. Using Wikipedia and WordNet as examples, and evaluated in both the general and biomedical domains, it successfully combines strengths from both knowledge sources and outperforms state-of-the-art on many datasets.erforms state-of-the-art on many datasets.
Abstractsub Measuring semantic relatedness between worMeasuring semantic relatedness between words or concepts is a crucial process to many Natural Language Processing tasks. Exiting methods exploit semantic evidence from a single knowledge source, and are predominantly evaluated only in the general domain. This paper introduces a method of harnessing different knowledge sources under a uniform model for measuring semantic relatedness between words or concepts. Using Wikipedia and WordNet as examples, and evaluated in both the general and biomedical domains, it successfully combines strengths from both knowledge sources and outperforms state-of-the-art on many datasets.erforms state-of-the-art on many datasets.
Bibtextype inproceedings  +
Has author Zhang Z. + , Gentile A.L. + , Ciravegna F. +
Has extra keyword Biomedical domain + , Dataset + , Knowledge sources + , NAtural language processing + , Semantic relatedness + , Uniform model + , Wikipedia + , Wordnet + , Computational linguistics + , Semantics + , Natural language processing systems +
Isbn 1937284115; 9781937284114  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 991–1002  +
Published in EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference +
Title Harnessing different knowledge sources to measure semantic relatedness under a uniform model +
Type conference paper  +
Year 2011 +
Creation dateThis property is a special property in this wiki. 7 November 2014 18:57:18  +
Categories Publications without keywords parameter  + , 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 18:57:18  +
DateThis property is a special property in this wiki. 2011  +
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