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Amazon.com's Price: $100.00
as of 05/25/2012 11:17 EDT



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Binding: Paperback
EAN: 9783639121957
ISBN: 3639121953
Item Dimensions: 5590079600
Label: VDM Verlag Dr. Müller
Languages: EnglishUnknownEnglishOriginal LanguageEnglishPublished
Manufacturer: VDM Verlag Dr. Müller
Number Of Items: 1
Number Of Pages: 240
Publication Date: March 01, 2009
Publisher: VDM Verlag Dr. Müller
Studio: VDM Verlag Dr. Müller




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Editorial Review:

Product Description:
In regards to computing lexical similarity, the two fundamental problems are respectively concerned with how to explore concept relationships predefined and enumerated in lexical knowledge bases and how to statistically induce and learn context relationships from word co-occurrences. To address these problems, this book focuses on approaching both taxonomic similarity through the semantic networks in WordNet and distributional similarity through syntactically constrained context. The taxonomic similarity model we proposed outperforms most popular similarity methods with respect to simulating human similarity judgments. In relation to distributional similarity, we thoroughly investigated the semantic properties of grammatical relationships in regulating word meanings, whereby over 80% precision can be reached in extracting synonyms or near-synonyms. This book provides a systematic guidance on computing taxonomic similarity and distributional similarity. It is appropriate for system developers and researchers working in language technology.



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