[PDF.67hn] Spotting and Discovering Terms through Natural Language Processing
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Spotting and Discovering Terms through Natural Language Processing
Christian Jacquemin
[PDF.ub71] Spotting and Discovering Terms through Natural Language Processing
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| #4319764 in Books | 2001-04-30 | Original language:English | PDF # 1 | 9.00 x1.00 x7.00l,1.76 | File type: PDF | 357 pages||6 of 6 people found the following review helpful.| Good book|By Kevin B. Cohen|A good book. Nice features: 1) Sweet reviews of related technologies and approaches 2) Pretty explicit description of his methodology 3) Well-written--clear and intelligible. I'm pretty hard to please in the intelligibility department (translation: "I don't have a strong background in this area"), and I found it quite easy to get thr|||This important and timely publication presents an efficient, accurate method for automated term variant extraction from technical and scientific texts. The book provides the first comprehensive account of work in this area. (Tomek Strzalkowski, Department of
In this book Christian Jacquemin shows how the power of natural language processing (NLP) can be used to advance text indexing and information retrieval (IR). Jacquemin's novel tool is FASTR, a parser that normalizes terms and recognizes term variants. Since there are more meanings in a language than there are words, FASTR uses a metagrammar composed of shallow linguistic transformations that describe the morphological, syntactic, semantic, and pragmatic variations of...
You can specify the type of files you want, for your gadget.Spotting and Discovering Terms through Natural Language Processing | Christian Jacquemin. A good, fresh read, highly recommended.
