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Common terms and phrasesalgorithms annotated application approach assess automatically bin/sh CBTW1 character classification clustering cohesion Computational Linguistics computed concepts contains context corpus Data Mining data sets defined definition different difficulty document types domain effect entities example experiments feature selection field file find finding first FrameNet function gold standard hypothesis identified InFact information extraction input instances iSTART kernel keyword label Latent Semantic Analysis lexical linguistic Machine Learning match measure methods modifiers natural language natural language processing noun ontology evaluation OntoRand operations opine opine’s opinion phrase output pairs parse tree parser parsing pattern space performance prediction problem processing query Rand index relations retrieval rules scores Section sed program self-explanation sentence sequence significant similar specific string structure substitution command Support Vector Machines syntactic Table tagging task techniques text mining textual TFIDF topic UNIX users values vector verb WordNet words References to this bookFrom other books
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