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By
Rada Mihalcea and
Dragomir Radev
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Jump down to see edition details for: Hardcover
Bibliographic Detail
Publisher
Cambridge Univ Pr
Publication date
April 30, 2011
Pages
192
Binding
Hardcover
Book category
Adult Non-Fiction
ISBN-13
9780521896139
ISBN-10
0521896134
Dimensions
0.50 by 6.25 by 9.25 in.
Weight
0.90 lbs.
Original list price
$69.99
Other format details
university press
Amazon.com says people who bought this book also bought:
Neural Network Methods in Natural Language Processing (Synthesis Lectures on Human Language Technologies) | Deep Learning (Adaptive Computation and Machine Learning series) | Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems | Foundations of Statistical Natural Language Processing | Representation And Inference For Natural Language
Neural Network Methods in Natural Language Processing (Synthesis Lectures on Human Language Technologies) | Deep Learning (Adaptive Computation and Machine Learning series) | Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems | Foundations of Statistical Natural Language Processing | Representation And Inference For Natural Language
Summaries and Reviews
Amazon.com description: Product Description: 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.
Editions
Hardcover
The price comparison is for this edition
from Cambridge Univ Pr (April 30, 2011)
9780521896139 | details & prices | 192 pages | 6.25 × 9.25 × 0.50 in. | 0.90 lbs | List price $69.99
About: Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines.
About: Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines.
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