Natural Language Processing for Online Applications: Text Retrieval, Extraction, and CategorizationThis text covers the emerging technologies of document retrieval, information extraction, and text categorization in a way which highlights commonalities in terms of both general principles and practical issues. It seeks to satisfy a need on the part of technology practitioners in the Internet space, faced with having to make difficult decisions as to what research has been done an what the best practices are. It is not intended as a vendor guide (such things are quickly out of date), or as a recipe for building applications (such recipes are very context-dependent). But it does identify the key technologies, the issues involved, and the strengths and weaknesses on evaluation in every chapter, both in terms of methodology (how to evaluate) and what controlled experimentation and industrial experience have to tell us. |
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Page 52
... query proces- sor can recognize different word roots without resorting to ad ... expansion based on general - purpose thesauri are very unlikely to enhance ... Query expansion from relevance information * An alternative to thesauri for ...
... query proces- sor can recognize different word roots without resorting to ad ... expansion based on general - purpose thesauri are very unlikely to enhance ... Query expansion from relevance information * An alternative to thesauri for ...
Page 55
... query expansion . For each expansion candidate , the model discussed by Robertson82 considers the distri- bution of scores for relevant and non - relevant documents , with the candidate term present or absent . The model leads to an ...
... query expansion . For each expansion candidate , the model discussed by Robertson82 considers the distri- bution of scores for relevant and non - relevant documents , with the candidate term present or absent . The model leads to an ...
Page 56
... query expansion using relevance information looks more promising than query expansion based on thesauri . In past years , there has been experimental evidence that such a process may be effective but not always reliable . By the same ...
... query expansion using relevance information looks more promising than query expansion based on thesauri . In past years , there has been experimental evidence that such a process may be effective but not always reliable . By the same ...
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algorithm analysis anaphora applications approach assigned automatic Boolean Chapter classifiers cluster collection combination computed Conference contain context corefer coreference court decision tree docu document retrieval estimate evaluation example FASTUS filtering finite frequency given grammar identify information extraction information retrieval linear classifiers linguistic Machine Learning match measure Message Understanding Conference methods Microsoft Naïve Bayes named entity Natural Language Processing non-relevant NOT-A-NAME noun groups noun phrase occur parser parsing patterns performance probabilistic probability problem Proceedings pronoun proper names query expansion query terms ranked retrieval recall and precision regular expressions relevance feedback relevant documents represent rules score search engine Section semantic sentence Sidebar simple statistical structure summary syntactic Table tagged taggers task techniques template text categorization text classification text mining tf-idf tion topic TREC typically vector space vector space model weight vector words