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Graph-based natural language processing and information retrieval /
"This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval"--
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Cambridge University Press,
2011, ©2011.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Mihalcea, Rada, |d 1974- | |
| 245 | 1 | 0 | |a Graph-based natural language processing and information retrieval / |c Rada Mihalcea, Dragomir Radev. |
| 260 | |a New York : |b Cambridge University Press, |c 2011, ©2011. | ||
| 300 | |a 1 online resource (viii, 192 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 520 | |a "This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval"-- |c Provided by publisher | ||
| 520 | |a "Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications, and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification, and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms"-- |c Provided by publisher | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Graphical user interfaces (Computer systems) | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 6 | |a Interfaces graphiques (Informatique) | |
| 650 | 7 | |a COMPUTERS |x Natural Language Processing. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x User Interfaces. |2 bisacsh | |
| 650 | 7 | |a Graphical user interfaces (Computer systems) |2 fast | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast | |
| 700 | 1 | |a Radev, Dragomir, |d 1968- | |
| 776 | 0 | 8 | |i Print version: |a Mihalcea, Rada, 1974- |t Graph-based natural language processing and information retrieval. |d New York : Cambridge University Press, 2011, ©2011 |z 9780521896139 |w (DLC) 2010044578 |w (OCoLC)671573419 |
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