Natural language processing for online applications: text retrieval, extraction, and categorization |
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Common terms and phrases
algorithm analysis anaphora applications approach assigned automatic Boolean Chapter classifiers clusters collection combination computed Conference contain context coreference court decision tree docu document retrieval estimate evaluation example FASTUS filtering finite frequency FSMs given grammar identify information extraction information retrieval linear classifiers linguistic Machine Learning match measure Message Understanding Conference methods metrics Microsoft Naive 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 tion topic training data TREC typically vector space vector space model weight vector words
Bibliographic information
| Title | Natural language processing for online applications: text retrieval, extraction, and categorization Volume 5 of Natural language processing |
| Authors | Peter Jackson, Isabelle Moulinier |
| Edition | illustrated |
| Publisher | John Benjamins Pub., 2002 |
| ISBN | 9027249881, 9789027249883 |
| Length | 225 pages |
| Subjects | › Computers / Artificial Intelligence Computers / Natural Language Processing |
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