Book Synopsis EMNLP 2010 by :
Download or read book EMNLP 2010 written by and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis EMNLP 2010 by :
Proceedings Of The 2010 Conference On Empirical Methods In Natural Language Processing
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Book Synopsis EMNLP 2010 by :
Author : Hang Li
Publisher :
ISBN 13 :
Total Pages : 1332 pages
Book Rating : 4.:/5 (122 download)
Book Synopsis Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing by : Hang Li
Download or read book Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing written by Hang Li and published by . This book was released on 2010 with total page 1332 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing - Volume 10
Author :
Publisher :
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.:/5 (122 download)
Book Synopsis Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing - Volume 10 by :
Download or read book Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing - Volume 10 written by and published by . This book was released on 2002 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Eric Brill
Publisher :
ISBN 13 :
Total Pages : 164 pages
Book Rating : 4.E/5 ( download)
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:
Author : Jan? Hajǐc
Publisher :
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.:/5 (81 download)
Book Synopsis Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing by : Jan? Hajǐc
Download or read book Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing written by Jan? Hajǐc and published by . This book was released on 2002 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Association for Computational Linguistics Special Interest Group for Linguistic Data and Corpus Based Approaches to NLP
Publisher :
ISBN 13 : 9781932432626
Total Pages : 535 pages
Book Rating : 4.4/5 (326 download)
Book Synopsis Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing by : Association for Computational Linguistics Special Interest Group for Linguistic Data and Corpus Based Approaches to NLP
Download or read book Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing written by Association for Computational Linguistics Special Interest Group for Linguistic Data and Corpus Based Approaches to NLP and published by . This book was released on 2009 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Conference on Empirical Methods in Natural Language Processing
Publisher :
ISBN 13 :
Total Pages : 172 pages
Book Rating : 4.:/5 (249 download)
Book Synopsis Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing by : Conference on Empirical Methods in Natural Language Processing
Download or read book Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing written by Conference on Empirical Methods in Natural Language Processing and published by . This book was released on 2001 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Claire Cardie
Publisher :
ISBN 13 :
Total Pages : 228 pages
Book Rating : 4.E/5 ( download)
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:
Author : Jan Hajič
Publisher :
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.:/5 (249 download)
Book Synopsis Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing by : Jan Hajič
Download or read book Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing written by Jan Hajič and published by . This book was released on 2002 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 : 9781932432367
Total Pages : 441 pages
Book Rating : 4.4/5 (323 download)
Book Synopsis Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing by :
Download or read book Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing written by and published by . This book was released on 2004 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Conference on Empirical Methods in Natural Language Processing
Publisher :
ISBN 13 :
Total Pages : 223 pages
Book Rating : 4.:/5 (249 download)
Book Synopsis Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing by : Conference on Empirical Methods in Natural Language Processing
Download or read book Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing written by Conference on Empirical Methods in Natural Language Processing and published by . This book was released on 2003 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Emiel Krahmer
Publisher : Springer
ISBN 13 : 3642155731
Total Pages : 363 pages
Book Rating : 4.6/5 (421 download)
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. This book was released on 2010-08-17 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.
Author : G. De Giacomo
Publisher : IOS Press
ISBN 13 : 164368101X
Total Pages : 3122 pages
Book Rating : 4.6/5 (436 download)
Book Synopsis ECAI 2020 by : G. De Giacomo
Download or read book ECAI 2020 written by G. De Giacomo and published by IOS Press. This book was released on 2020-09-11 with total page 3122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.
Author : Eric Gaussier
Publisher : John Wiley & Sons
ISBN 13 : 1118562801
Total Pages : 334 pages
Book Rating : 4.1/5 (185 download)
Book Synopsis Textual Information Access by : Eric Gaussier
Download or read book Textual Information Access written by Eric Gaussier and published by John Wiley & Sons. This book was released on 2013-02-04 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents statistical models that have recently been developed within several research communities to access information contained in text collections. The problems considered are linked to applications aiming at facilitating information access: - information extraction and retrieval; - text classification and clustering; - opinion mining; - comprehension aids (automatic summarization, machine translation, visualization). In order to give the reader as complete a description as possible, the focus is placed on the probability models used in the applications concerned, by highlighting the relationship between models and applications and by illustrating the behavior of each model on real collections. Textual Information Access is organized around four themes: informational retrieval and ranking models, classification and clustering (regression logistics, kernel methods, Markov fields, etc.), multilingualism and machine translation, and emerging applications such as information exploration. Contents Part 1: Information Retrieval 1. Probabilistic Models for Information Retrieval, Stéphane Clinchant and Eric Gaussier. 2. Learnable Ranking Models for Automatic Text Summarization and Information Retrieval, Massih-Réza Amini, David Buffoni, Patrick Gallinari, Tuong Vinh Truong and Nicolas Usunier. Part 2: Classification and Clustering 3. Logistic Regression and Text Classification, Sujeevan Aseervatham, Eric Gaussier, Anestis Antoniadis, Michel Burlet and Yves Denneulin. 4. Kernel Methods for Textual Information Access, Jean-Michel Renders. 5. Topic-Based Generative Models for Text Information Access, Jean-Cédric Chappelier. 6. Conditional Random Fields for Information Extraction, Isabelle Tellier and Marc Tommasi. Part 3: Multilingualism 7. Statistical Methods for Machine Translation, Alexandre Allauzen and François Yvon. Part 4: Emerging Applications 8. Information Mining: Methods and Interfaces for Accessing Complex Information, Josiane Mothe, Kurt Englmeier and Fionn Murtagh. 9. Opinion Detection as a Topic Classification Problem, Juan-Manuel Torres-Moreno, Marc El-Bèze, Patrice Bellot and Fréderic Béchet.
Author : Alexander Gelbukh
Publisher : Springer
ISBN 13 : 3319754874
Total Pages : 652 pages
Book Rating : 4.3/5 (197 download)
Book Synopsis Computational Linguistics and Intelligent Text Processing by : Alexander Gelbukh
Download or read book Computational Linguistics and Intelligent Text Processing written by Alexander Gelbukh and published by Springer. This book was released on 2018-03-20 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff’s Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications.
Author : Bing Liu
Publisher : Cambridge University Press
ISBN 13 : 1107017890
Total Pages : 385 pages
Book Rating : 4.1/5 (7 download)
Book Synopsis Opinions, Sentiment, and Emotion in Text by : Bing Liu
Download or read book Opinions, Sentiment, and Emotion in Text written by Bing Liu and published by Cambridge University Press. This book was released on 2015-06-04 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a comprehensive introduction to all the core areas and many emerging themes of sentiment analysis.
Author : Tamir Hazan
Publisher : MIT Press
ISBN 13 : 0262549948
Total Pages : 413 pages
Book Rating : 4.2/5 (625 download)
Book Synopsis Perturbations, Optimization, and Statistics by : Tamir Hazan
Download or read book Perturbations, Optimization, and Statistics written by Tamir Hazan and published by MIT Press. This book was released on 2023-12-05 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees. In nearly all machine learning, decisions must be made given current knowledge. Surprisingly, making what is believed to be the best decision is not always the best strategy, even when learning in a supervised learning setting. An emerging body of work on learning under different rules applies perturbations to decision and learning procedures. These methods provide simple and highly efficient learning rules with improved theoretical guarantees. This book describes perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees, offering readers a state-of-the-art overview. Chapters address recent modeling ideas that have arisen within the perturbations framework, including Perturb & MAP, herding, and the use of neural networks to map generic noise to distribution over highly structured data. They describe new learning procedures for perturbation models, including an improved EM algorithm and a learning algorithm that aims to match moments of model samples to moments of data. They discuss understanding the relation of perturbation models to their traditional counterparts, with one chapter showing that the perturbations viewpoint can lead to new algorithms in the traditional setting. And they consider perturbation-based regularization in neural networks, offering a more complete understanding of dropout and studying perturbations in the context of deep neural networks.
