Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology

1. Front Matter

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2. Information extraction as a core language technology

   • Yorick Wilks

   Pages 1-9

3. Information extraction: Techniques and challenges

   • Ralph Grishman

   Pages 10-27

4. Concepticons vs. lexicons: An architecture for multilingual information extraction

   • Robert Gaizauskas, Kevin Humphreys, Saliha Azzam, Yorick Wilks

   Pages 28-43

5. Lexical acquisition and information extraction

   • Roberto Basili, Maria Teresa Pazienza

   Pages 44-72

6. Technical terminology for domain specification and content characterisation

   • Branimir Boguraev, Christopher Kennedy

   Pages 73-96

7. Short query linguistic expansion techniques: Palliating one-word queries by providing intermediate structure to text

   • Gregory Grefenstette

   Pages 97-114

8. Information retrieval: Still butting heads with natural language processing?

   • Alan F. Smeaton

   Pages 115-138

9. Semantic matching: Formal ontological distinctions for information organization, extraction, and integration

   • Nicola Guarino

   Pages 139-170

10. Machine learning for information extraction

    • Filippo Neri, Lorenza Saitta

    Pages 171-191

11. Modeling and querying semi-structured data

    • Sophie Cluet

    Pages 192-213

12. Back Matter

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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.

• Text
• computational linguistics
• content analysis
• data mining
• data querying
• information extraction
• information technology
• learning
• linguistics
• natural language
• processing (NLP)

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