| 書目名稱 | Natural Language Information Retrieval | | 編輯 | Tomek Strzalkowski | | 視頻video | http://file.papertrans.cn/662/661791/661791.mp4 | | 叢書名稱 | Text, Speech and Language Technology | | 圖書封面 |  | | 描述 | The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic discipline has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and informa- tion access has exploded. Emerging applications in computer-assisted infor- mation production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that resulted in a new generation of robust tools, systems, and commercial products. Well-positioned government research funding, particularly in the U. S. , has helped to advance the state-of-the- art at an unprecedented pace, in no small measure thanks to the rigorous 1 evaluations. This volume focuses on the use of Natural Language Processing in In- formation Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, particularly in textual form. An outcome of an information retrieval process is usually a set of documents containing information on a given to | | 出版日期 | Book 1999 | | 關(guān)鍵詞 | DOM; Syntax; classification; communication; computational linguistics; corpus; corpus linguistic; informati | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-017-2388-6 | | isbn_softcover | 978-90-481-5209-4 | | isbn_ebook | 978-94-017-2388-6Series ISSN 1386-291X Series E-ISSN 2542-9388 | | issn_series | 1386-291X | | copyright | Springer Science+Business Media Dordrecht 1999 |
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