Steffen Staab

Grading Knowledge (eBook, PDF)

Extracting Degree Information from Texts

• Format: PDF

Produktbeschreibung

This book develops concise and comprehensive concepts for extracting degree information from natural language texts. First, an overview of the ParseTalk information extraction system is given. Then, from the review of relevant linguistic literature, the author derives two distinct categories of natural language degree expressions and proposes knowledge-intensive algorithms to handle their analyses in the ParseTalk system. Moreover, for inferencing the author generalizes from well-known constraint propagation mechanisms. The concepts and methods developed are applied to text domains from medical diagnosis and information technology magazines. The conclusion of the book gives an integration of all three levels of understanding resulting in more advanced and more efficient information extraction mechanisms.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 192
• Erscheinungstermin: 26. Juni 2003
• Englisch
• ISBN-13: 9783540466185
• Artikelnr.: 53396824

Autorenporträt

PD Dr. Steffen Staab is a senior lecturer in applied computer science at the University of Karlsruhe. He has earned a M.S.E. from University of Pennsylvania, a Dr. rer. nat. from University of Freiburg and his habilitation from University of Karlsruhe. He has done research in the fields of computational linguistics, text mining, ontology engineering, knowledge management, and peer-to-peer.

Inhaltsangabe

ParseTalk - The System Context.- Lexical Semantics of Degree Expressions.- Representation and Inferences.- Relative Comparisons.- Absolute Comparisons.- Integration and Conclusion.- List of Conventions.- The Entity-Relationship Model.- Auxiliary Proofs.