This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Rada Mihalcea is an Associate Professor in the Department of Computer Science and Engineering at the University of North Texas, where she leads the Language and Information Technologies research group. In 2009, she received the Presidential Early Career Award for Scientists and Engineers, awarded by President Barack Obama. She served on the editorial board of several journals, including Computational Linguistics, the Journal of Natural Language Engineering and Language Resources and Evaluations, and she co-chaired the Empirical Methods in Natural Language Processing conference in 2009 and the Association for Computational Linguistics conference in 2011. She has been published in IEEE Intelligent Systems, the Journal of Natural Language Engineering, the Journal of Machine Translation, Computational Intelligence, the International Journal of Semantic Computing and Artificial Intelligence Magazine.
Inhaltsangabe
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.
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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