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Grading knowledge : Extracting degree information from texts

Author: Steffen Staab
Publisher: Berlin ; New York : Springer, 1999.
Series: Lecture notes in computer science, 1744.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:

This text develops concepts for extracting degree information from natural language texts. The concepts and methods developed are applied to text domains from information technology magazines. The  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Steffen Staab
ISBN: 3540669345 9783540669340
OCLC Number: 42976891
Description: xiv, 187 pages : illustrations ; 24 cm.
Contents: 1. Introduction --
2. ParseTalk --
The System Context --
2.1. An Architecture for Text Knowledge Extraction --
2.2. Syntactic Analysis --
2.3. Conceptual System --
2.4. Referring and Relating --
3. Lexical Semantics of Degree Expressions --
3.1. Scales --
3.2. Gradable Adjectives --
3.3. Non-adjectival Degree Expressions --
3.4. Summary --
4. Representation and Inferences --
4.1. Requirements on Modeling Degree Relations --
4.2. Binary Relations --
4.3. Non-binary Relations --
4.4. Related Work --
4.5. Conclusion on Representation and Inferences --
5. Relative Comparisons --
5.1. Basic Model for Interpreting Relative Comparatives --
5.2. Extension to Textual Phenomena --
5.3. Theoretical and Empirical Coverage --
5.4. Related Work --
5.5. Conclusion on Relative Comparisons --
6. Absolute Comparisons --
6.1. A Cognitive Framework for Absolute Comparisons --
6.2. Representing Comparison Classes --
6.3. Knowledge about Intercorrelations --
6.4. Computing Comparison Classes --
6.5. Empirical Evaluation --
6.6. Related Work --
637. Conclusion on Absolute Comparisons --
7. Integration and Conclusion --
B. The Entity-Relationship Model --
C. Auxiliary Proofs.
Series Title: Lecture notes in computer science, 1744.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Responsibility: Steffen Staab.
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