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Titlebook: Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology; A Multidisciplinary Maria Teresa Pazienza Conf

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书目名称Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
副标题A Multidisciplinary
编辑Maria Teresa Pazienza
视频video
概述This is the first book solely devoted to information extraction.It provides a systematic introduction, presents applications in various fields and leads on to current R & D issues
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology; A Multidisciplinary  Maria Teresa Pazienza Conf
描述Information extraction (IE) is a new technology enabling relevant content to be extracted from textual information available electronically. IE essentially builds on natural language processing and computational linguistics, but it is also closely related to the well established area of information retrieval and involves learning. In concert with other promising and emerging information engineering technologies like data mining, intelligent data analysis, and text summarization, IE will play a crucial role for scientists and professionals as well as other end-users who have to deal with vast amounts of information, for example from the Internet. As the first book solely devoted to IE, it is of relevance to anybody interested in new and emerging trends in information processing technology.
出版日期Conference proceedings 1997
关键词Text; computational linguistics; content analysis; data mining; data querying; information extraction; inf
版次1
doihttps://doi.org/10.1007/3-540-63438-X
isbn_softcover978-3-540-63438-6
isbn_ebook978-3-540-69548-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1997
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Concepticons vs. lexicons: An architecture for multilingual information extraction,e system to perform the same task against texts in a different language. More generally, there may be a requirement to do the extraction task against texts in an arbitrary number of different languages and to present results to a user who has no knowledge of the source language from which the inform
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Technical terminology for domain specification and content characterisation,thin the current state of the art of language engineering. What is particularly interesting here is the clear understanding how to derive, from their linguistic properties, computational procedures for reliable identification and extraction of terms from technical, scientific, prose. In generic info
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Short query linguistic expansion techniques: Palliating one-word queries by providing intermediate s containing these words, and the user examines those documents, or their abstracts, sees how the word or words in their query are being used and alters their initial query accordingly. This contrasts markedly with the Information Retrieval models explored by researchers over the past thirty-five ye
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Semantic matching: Formal ontological distinctions for information organization, extraction, and in natural language. To this purpose, the ontological assumptions of the template need to be suitably specified, and compared with the ontological implications of the text. So-called “ontologies”, consisting of theories of various kinds expressing the meaning of shared vocabularies, begin to be used f
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