Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology : A Multidisciplinary Approach to an Emerging Information Technology / edited by Maria T. Pazienza.

Format:

Book

Contributor:

Pazienza, Maria T., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 1299.

Lecture Notes in Artificial Intelligence ; 1299

Language:

English

Subjects (All):

Artificial intelligence.

Signal processing.

Image processing.

Speech processing systems.

Optical data processing.

Information storage and retrieval.

Artificial Intelligence.

Signal, Image and Speech Processing.

Image Processing and Computer Vision.

Information Storage and Retrieval.

Local Subjects:

Artificial Intelligence.

Signal, Image and Speech Processing.

Image Processing and Computer Vision.

Information Storage and Retrieval.

Physical Description:

1 online resource (X, 222 pages).

Edition:

First edition 1997.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1997.

System Details:

text file PDF

Summary:

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.

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.

Other Format:

Printed edition:

ISBN:

978-3-540-69548-6

9783540695486

Access Restriction:

Restricted for use by site license.