Graph-based Natural Language Processing and Information Retrievalby Rada Mihalcea, Dragomir R. Radev
This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval.See more details below
This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval.
- Cambridge University Press
- Publication date:
- Edition description:
- New Edition
- Sales rank:
- Product dimensions:
- 6.20(w) x 9.30(h) x 0.70(d)
Table of Contents
Part I. Introduction to Graph Theory: 1. Notations, properties, and representations; 2. Graph-based algorithms; Part II. Networks: 3. Random networks; 4. Language networks; Part III. Graph-Based Information Retrieval: 5. Link analysis for the World Wide Web; 6. Text clustering; Part IV. Graph-Based Natural Language Processing: 7. Semantics; 8. Syntax; 9. Applications.
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