Integrated concept blending with vector space models
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- 作者：Hiram Calvo ; hcalvo@cic.ipn.mx" class="auth_mail" title="E-mail the corresponding author ; Oscar Mé ; ndez omendez_a12@cic.ipn.mx" class="auth_mail" title="E-mail the corresponding author ; Marco A. Moreno-Armendá ; riz mam_armendariz@cic.ipn.mx" class="auth_mail" title="E-mail the corresponding author
- 关键词：Computational linguistics ; Natural language processing ; Lexicography ; Vector space models ; Reverse lookup dictionaries ; Concept-blending
- 刊名：Computer Speech & Language
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：40
- 期：Complete
- 页码：79-96
- 全文大小：1301 K
文摘
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A method for merging an arbitrary number of nouns, mixing their meanings.
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Successful model using vector representation, scantily explored for concept retrieval.
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Experiments with 3 semantic space models: WN, a thesaurus, and a topic based model.
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Good performance with an automatically obtained resource comparable to a manual one.
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Evaluation by qualified reviewers and comparison with a traditional dictionary.