Hinrich Schutze's Books

Foundations of Statistical Natural Language Processing

By: Christopher Manning,Hinrich Schutze

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Foundations of Statistical Natural Language Processing

By: Christopher Manning,Hinrich Schutze

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

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Page Count

722

Publisher

MIT Press

Published Date

ISBN 10

0262133601

ISBN 13

9780262133609

Introduction to Information Retrieval

By: Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze

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Introduction to Information Retrieval

By: Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

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Publisher

Cambridge University Press

Published Date

ISBN 10

1139472100

ISBN 13

9781139472104

Introduction to Information Retrieval

By: Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze

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Introduction to Information Retrieval

By: Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze

Class-tested and up-to-date textbook for introductory courses on information retrieval.

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Page Count

482

Published Date

ISBN 10

0521865719

ISBN 13

9780521865715

Introduction to Information Retrieval International Student Edition

By: Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze

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Introduction to Information Retrieval International Student Edition

By: Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze

Class-tested and up-to-date textbook for introductory courses on information retrieval.

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Page Count

496

Publisher

Cambridge University Press

Published Date

ISBN 10

0521758785

ISBN 13

9780521758789

Foundations of Statistical Natural Language Processing

By: Christopher Manning,Hinrich Schutze

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Foundations of Statistical Natural Language Processing

By: Christopher Manning,Hinrich Schutze

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Page Count

719

Publisher

MIT Press

Published Date

ISBN 10

0262303795

ISBN 13

9780262303798

Ambiguity Resolution in Language Learning

Computational and Cognitive Models

By: Hinrich Schütze

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Ambiguity Resolution in Language Learning

Computational and Cognitive Models

By: Hinrich Schütze

This volume is concerned with how ambiguity and ambiguity resolution are learned, that is, with the acquisition of the different representations of ambiguous linguistic forms and the knowledge necessary for selecting among them in context. Schütze concentrates on how the acquisition of ambiguity is possible in principle and demonstrates that particular types of algorithms and learning architectures (such as unsupervised clustering and neural networks) can succeed at the task. Three types of lexical ambiguity are treated: ambiguity in syntactic categorisation, semantic categorisation, and verbal subcategorisation. The volume presents three different models of ambiguity acquisition: Tag Space, Word Space, and Subcat Learner, and addresses the importance of ambiguity in linguistic representation and its relevance for linguistic innateness.

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Page Count

230

Publisher

Center for the Study of Language and Information Publications

Published Date

ISBN 10

1575860740

ISBN 13

9781575860749

Book's by Hinrich Schutze

Foundations of Statistical Natural Language Processing

Foundations of Statistical Natural Language Processing

Introduction to Information Retrieval

Introduction to Information Retrieval

Introduction to Information Retrieval

Introduction to Information Retrieval

Introduction to Information Retrieval International Student Edition

Introduction to Information Retrieval International Student Edition

Foundations of Statistical Natural Language Processing

Foundations of Statistical Natural Language Processing

Ambiguity Resolution in Language Learning

Ambiguity Resolution in Language Learning

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