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Information Extraction A Multidisciplinary Approach to an Emerging Information Technology [electronic resource] :International Summer School, SCIE-97 Frascati, Italy, July 14–18, 1997 /

Contributor(s): Pazienza, Maria Teresa [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence: 1299Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1997.Description: X, 222 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540695486.Other title: International Summer School, SCIE-97, Frascati, Italy, July 14-18, 1997.Subject(s): Computer science | Information storage and retrieval | Artificial intelligence | Image processing | Computer Science | Artificial Intelligence (incl. Robotics) | Signal, Image and Speech Processing | Image Processing and Computer Vision | Information Storage and RetrievalOnline resources: Click here to access online
Contents:
Information extraction as a core language technology -- Information extraction: Techniques and challenges -- Concepticons vs. lexicons: An architecture for multilingual information extraction -- Lexical acquisition and information extraction -- Technical terminology for domain specification and content characterisation -- Short query linguistic expansion techniques: Palliating one-word queries by providing intermediate structure to text -- Information retrieval: Still butting heads with natural language processing? -- Semantic matching: Formal ontological distinctions for information organization, extraction, and integration -- Machine learning for information extraction -- Modeling and querying semi-structured data.
In: Springer eBooksSummary: 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.
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Information extraction as a core language technology -- Information extraction: Techniques and challenges -- Concepticons vs. lexicons: An architecture for multilingual information extraction -- Lexical acquisition and information extraction -- Technical terminology for domain specification and content characterisation -- Short query linguistic expansion techniques: Palliating one-word queries by providing intermediate structure to text -- Information retrieval: Still butting heads with natural language processing? -- Semantic matching: Formal ontological distinctions for information organization, extraction, and integration -- Machine learning for information extraction -- Modeling and querying semi-structured data.

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.

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