Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-19120
SanJuan, E; Dowdall, J; Imbekwe-SanJuan, F; Rinaldi, F (2005). A symbolic approach to automatic multiword term structuring. Computer Speech and Language, 19(4):524-542.
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This paper presents a three-level structuring of multiword terms basing on lexical inclusion, WordNet similarity and a clustering approach. Term clustering by automatic data analysis methods oers an inter- esting way of organizing a domains knowledge structure, useful for several information-oriented tasks like science and technology watch, textmining, computer-assisted ontology population, Question Answering (QA). This paper explores how this three-level term structuring brings to light the knowledge structures from a corpus of genomics and compares the mapping of the domain topics against a hand-built ontology (the GENIA ontology). Ways of integrating the results into a QA system are discussed.
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|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||06 Faculty of Arts > Institute of Computational Linguistics|
|Dewey Decimal Classification:||000 Computer science, knowledge & systems
|Deposited On:||13 Jun 2009 06:46|
|Last Modified:||23 Nov 2012 12:38|
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