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.
Author(s): Yorick Wilks (auth.), Maria Teresa Pazienza (eds.)
Series: Lecture Notes in Computer Science 1299 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1997
Language: English
Pages: 222
Tags: Artificial Intelligence (incl. Robotics); Information Storage and Retrieval
Information extraction as a core language technology....Pages 1-9
Information extraction: Techniques and challenges....Pages 10-27
Concepticons vs. lexicons: An architecture for multilingual information extraction....Pages 28-43
Lexical acquisition and information extraction....Pages 44-72
Technical terminology for domain specification and content characterisation....Pages 73-96
Short query linguistic expansion techniques: Palliating one-word queries by providing intermediate structure to text....Pages 97-114
Information retrieval: Still butting heads with natural language processing?....Pages 115-138
Semantic matching: Formal ontological distinctions for information organization, extraction, and integration....Pages 139-170
Machine learning for information extraction....Pages 171-191
Modeling and querying semi-structured data....Pages 192-213
