Empirical Methods in Natural Language Generation

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Publisher : Springer Science & Business Media
ISBN 13 : 3642155723
Total Pages : 363 pages
Book Rating : 4.27/5 ( download)

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Book Synopsis Empirical Methods in Natural Language Generation by : Emiel Krahmer

Download or read book Empirical Methods in Natural Language Generation written by Emiel Krahmer and published by Springer Science & Business Media. This book was released on 2010-09-09 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research.

Empirical Methods in Natural Language Generation

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ISBN 13 : 9783642155741
Total Pages : 364 pages
Book Rating : 4.4X/5 ( download)

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Book Synopsis Empirical Methods in Natural Language Generation by :

Download or read book Empirical Methods in Natural Language Generation written by and published by . This book was released on 2011-08-14 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge-augmented Methods for Natural Language Processing

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Publisher : Springer Nature
ISBN 13 : 9819707471
Total Pages : 101 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis Knowledge-augmented Methods for Natural Language Processing by : Meng Jiang

Download or read book Knowledge-augmented Methods for Natural Language Processing written by Meng Jiang and published by Springer Nature. This book was released on with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the Second Conference on Empirical Methods in Natural Language Processing

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ISBN 13 :
Total Pages : 228 pages
Book Rating : 4.93/5 ( download)

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Book Synopsis Proceedings of the Second Conference on Empirical Methods in Natural Language Processing by : Claire Cardie

Download or read book Proceedings of the Second Conference on Empirical Methods in Natural Language Processing written by Claire Cardie and published by . This book was released on 1997 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Natural Language Generation in Interactive Systems

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Publisher : Cambridge University Press
ISBN 13 : 1107010020
Total Pages : 383 pages
Book Rating : 4.24/5 ( download)

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Book Synopsis Natural Language Generation in Interactive Systems by : Amanda Stent

Download or read book Natural Language Generation in Interactive Systems written by Amanda Stent and published by Cambridge University Press. This book was released on 2014-06-12 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of the state-of-the-art in natural language generation for interactive systems, with links to resources for further research.

Proceedings of the Conference on Empirical Methods in Natural Language Processing

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ISBN 13 :
Total Pages : 164 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Proceedings of the Conference on Empirical Methods in Natural Language Processing by : Eric Brill

Download or read book Proceedings of the Conference on Empirical Methods in Natural Language Processing written by Eric Brill and published by . This book was released on 1996 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Network Methods in Natural Language Processing

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 168173155X
Total Pages : 401 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis Neural Network Methods in Natural Language Processing by : Yoav Goldberg

Download or read book Neural Network Methods in Natural Language Processing written by Yoav Goldberg and published by Morgan & Claypool Publishers. This book was released on 2017-04-17 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

Introduction to Natural Language Processing

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Publisher : MIT Press
ISBN 13 : 0262042843
Total Pages : 535 pages
Book Rating : 4.40/5 ( download)

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Book Synopsis Introduction to Natural Language Processing by : Jacob Eisenstein

Download or read book Introduction to Natural Language Processing written by Jacob Eisenstein and published by MIT Press. This book was released on 2019-10-01 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

Natural Language Generation Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1461238463
Total Pages : 401 pages
Book Rating : 4.61/5 ( download)

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Book Synopsis Natural Language Generation Systems by : David D. McDonald

Download or read book Natural Language Generation Systems written by David D. McDonald and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural language generation is a field within artificial intelligence which looks ahead to the future when machines will communicate complex thoughts to their human users in a natural way. Generation systems supply the sophisticated knowledge about natural languages that must come into play when one needs to use wordings that will overpower techniques based only on symbolic string manipulation techniques. Topics covered in this volume include discourse theory, mechanical translation, deliberate writing, and revision. Natural Language Generation Systems contains contributions by leading researchers in the field. Chapters contain details of grammatical treatments and processing seldom reported on outside of full length monographs.

Natural Language Generation

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Publisher : Springer
ISBN 13 : 3540278230
Total Pages : 227 pages
Book Rating : 4.38/5 ( download)

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Book Synopsis Natural Language Generation by : Anja Belz

Download or read book Natural Language Generation written by Anja Belz and published by Springer. This book was released on 2011-04-02 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Third International Conference on Natural Language Generation (INLG 2004) was held from 14th to 16th July 2004 at Careys Manor, Brockenhurst, UK. Supported by the Association for Computational Linguistics Special - terest Group on Generation, the conference continued a twenty-year tradition of biennial international meetings on research into natural language generation. Recent conference venues have included Mitzpe Ramon, Israel (INLG 2000) and New York, USA (INLG 2002). It was our pleasure to invite the thriving and friendly NLG research community to the beautiful New Forest in the south of England for INLG 2004. INLG is the leading international conference in the ?eld of natural language generation. It provides a forum for the presentation and discussion of original research on all aspects of the generation of language, including psychological modelling of human language production as well as computational approaches to the automatic generation of language. This volume includes a paper by the keynote speaker, Ardi Roelofs of the Max Planck Institute for Psycholingu- tics and the F. C. Donders Centre for CognitiveNeuroimaging,18 regular papers reportingthelatestresearchresultsanddirections,and4studentpapersdescr- ing doctoral work in progress. These papers reveal a particular concentration of current research e?ort on statistical and machine learning methods, on referring expressions, and on variation in surface realisation. The papers were selected from 46 submissions from all over the world (27 from Europe, 13 from North America, 6 from elsewhere), which were subjected to a rigorous double-blind reviewing process undertaken by our hard-working programme committee.