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 :
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Book Synopsis EMNLP 2010 by :
Author : Chengqing Zong
Publisher : Springer
ISBN 13 : 3662459248
Total Pages : 491 pages
Book Rating : 4.6/5 (624 download)
Book Synopsis Natural Language Processing and Chinese Computing by : Chengqing Zong
Download or read book Natural Language Processing and Chinese Computing written by Chengqing Zong and published by Springer. This book was released on 2014-11-26 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third CCF Conference, NLPCC 2014, held in Shenzhen, China, in December 2014. The 35 revised full papers presented together with 8 short papers were carefully reviewed and selected from 110 English submissions. The papers are organized in topical sections on fundamentals on language computing; applications on language computing; machine translation and multi-lingual information access; machine learning for NLP; NLP for social media; NLP for search technology and ads; question answering and user interaction; web mining and information extraction.
Author : Christopher W. Forstall
Publisher : Springer
ISBN 13 : 3030234150
Total Pages : 189 pages
Book Rating : 4.0/5 (32 download)
Book Synopsis Quantitative Intertextuality by : Christopher W. Forstall
Download or read book Quantitative Intertextuality written by Christopher W. Forstall and published by Springer. This book was released on 2019-07-10 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces quantitative intertextuality, a new approach to the algorithmic study of information reuse in text, sound and images. Employing a variety of tools from machine learning, natural language processing, and computer vision, readers will learn to trace patterns of reuse across diverse sources for scholarly work and practical applications. The respective chapters share highly novel methodological insights in order to guide the reader through the basics of intertextuality. In Part 1, “Theory”, the theoretical aspects of intertextuality are introduced, leading to a discussion of how they can be embodied by quantitative methods. In Part 2, “Practice”, specific quantitative methods are described to establish a set of automated procedures for the practice of quantitative intertextuality. Each chapter in Part 2 begins with a general introduction to a major concept (e.g., lexical matching, sound matching, semantic matching), followed by a case study (e.g., detecting allusions to a popular television show in tweets, quantifying sound reuse in Romantic poetry, identifying influences in fan faction by thematic matching), and finally the development of an algorithm that can be used to reveal parallels in the relevant contexts. Because this book is intended as a “gentle” introduction, the emphasis is often on simple yet effective algorithms for a given matching task. A set of exercises is included at the end of each chapter, giving readers the chance to explore more cutting-edge solutions and novel aspects to the material at hand. Additionally, the book’s companion website includes software (R and C++ library code) and all of the source data for the examples in the book, as well as supplemental content (slides, high-resolution images, additional results) that may prove helpful for exploring the different facets of quantitative intertextuality that are presented in each chapter. Given its interdisciplinary nature, the book will appeal to a broad audience. From practitioners specializing in forensics to students of cultural studies, readers with diverse backgrounds (e.g., in the social sciences, natural language processing, or computer vision) will find valuable insights.
Author : Bing Liu
Publisher : Cambridge University Press
ISBN 13 : 1316298329
Total Pages : 385 pages
Book Rating : 4.3/5 (162 download)
Book Synopsis Sentiment Analysis by : Bing Liu
Download or read book Sentiment Analysis 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: Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs that are commonly used to express opinions and sentiments. It covers all core areas of sentiment analysis, includes many emerging themes, such as debate analysis, intention mining, and fake-opinion detection, and presents computational methods to analyze and summarize opinions. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences.
Author : Alexander Gelbukh
Publisher : Springer Science & Business Media
ISBN 13 : 3642286038
Total Pages : 639 pages
Book Rating : 4.6/5 (422 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 Science & Business Media. This book was released on 2012-02-24 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, consisting of LNCS 7181 and LNCS 7182, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, held in New Delhi, India, in March 2012. The total of 92 full papers were carefully reviewed and selected for inclusion in the proceedings. The contents have been ordered according to the following topical sections: NLP system architecture; lexical resources; morphology and syntax; word sense disambiguation and named entity recognition; semantics and discourse; sentiment analysis, opinion mining, and emotions; natural language generation; machine translation and multilingualism; text categorization and clustering; information extraction and text mining; information retrieval and question answering; document summarization; and applications.
Author : Min Zhang
Publisher : Springer
ISBN 13 : 3319995014
Total Pages : 516 pages
Book Rating : 4.3/5 (199 download)
Book Synopsis Natural Language Processing and Chinese Computing by : Min Zhang
Download or read book Natural Language Processing and Chinese Computing written by Min Zhang and published by Springer. This book was released on 2018-08-13 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set of LNAI 11108 and LNAI 11109 constitutes the refereed proceedings of the 7th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2018, held in Hohhot, China, in August 2018. The 55 full papers and 31 short papers presented were carefully reviewed and selected from 308 submissions. The papers of the first volume are organized in the following topics: conversational Bot/QA/IR; knowledge graph/IE; machine learning for NLP; machine translation; and NLP applications. The papers of the second volume are organized as follows: NLP for social network; NLP fundamentals; text mining; and short papers.
Author : Maciej Ogrodniczuk
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1614518386
Total Pages : 298 pages
Book Rating : 4.6/5 (145 download)
Book Synopsis Coreference by : Maciej Ogrodniczuk
Download or read book Coreference written by Maciej Ogrodniczuk and published by Walter de Gruyter GmbH & Co KG. This book was released on 2014-12-12 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: ‘Coreference’ presents specificities of reference, anaphora and coreference in Polish, establish identity-of-reference annotation model and present methodology used to create the corpus of Polish general nominal coreference. Various resolution approaches are presented, followed by their evaluation. By discussing the subsequent steps of building a coreference-related component of the natural language processing toolset and offering deeper explanation of the decisions taken, this volume might also serve as a reference book on state-of the art methods of carrying out coreference projects for new languages and a tutorial for NLP practitioners. Apart from serving as a description of the fi rst complete approach to annotation and resolution of direct nominal coreference for Polish, this book is a useful starting point for further work on other types of anaphora/coreference, semantic annotation, cognitive linguistics (related to the topic of near-identity, discussed in the book) etc. With extended tutorial-like sections on important subtopics, such as evaluation metrics for coreference resolution, it can prove useful to both researchers and practitioners interested in semantic description of Balto-Slavic languages and their processing, engineers developing language resources, tools and linguistic processing chains, as well as computational linguists in general.
Author : Bing Liu
Publisher : Springer Nature
ISBN 13 : 3031021452
Total Pages : 167 pages
Book Rating : 4.0/5 (31 download)
Book Synopsis Sentiment Analysis and Opinion Mining by : Bing Liu
Download or read book Sentiment Analysis and Opinion Mining written by Bing Liu and published by Springer Nature. This book was released on 2022-05-31 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography
Author : Jinfeng Yang
Publisher : Springer
ISBN 13 : 981107299X
Total Pages : 787 pages
Book Rating : 4.8/5 (11 download)
Book Synopsis Computer Vision by : Jinfeng Yang
Download or read book Computer Vision written by Jinfeng Yang and published by Springer. This book was released on 2017-11-29 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.
Author : Gosse Bouma
Publisher : Springer
ISBN 13 : 3642311784
Total Pages : 411 pages
Book Rating : 4.6/5 (423 download)
Book Synopsis Natural Language Processing and Information Systems by : Gosse Bouma
Download or read book Natural Language Processing and Information Systems written by Gosse Bouma and published by Springer. This book was released on 2012-06-22 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Conference on Applications of Natural Language to Information Systems, held in Groningen, The Netherlands, in June 2012. The 12 full papers, 24 short papers and 16 poster papers presented in this volume together with a full-paper length invited talks were carefully reviewed and selected from 90 submissions. The rapidly evolving state-of-the-art in NLP and the shifting interest to appcliations targeting document and data collections available on the Web, including an increasing amount of user generated content, is reflected in the contributions to this book. Topics covered are information retrieval, text classification and clustering, summarization, normalization of user generated content, "forensic" NLP, ontologies and natural language, sentiment analysis, question answering and information extraction, terminology and named entity recognition, and NLP tools development.
Author : Abhaya C. Nayak
Publisher : Springer Nature
ISBN 13 : 3030298949
Total Pages : 761 pages
Book Rating : 4.0/5 (32 download)
Book Synopsis PRICAI 2019: Trends in Artificial Intelligence by : Abhaya C. Nayak
Download or read book PRICAI 2019: Trends in Artificial Intelligence written by Abhaya C. Nayak and published by Springer Nature. This book was released on 2019-08-22 with total page 761 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNAI 11670, LNAI 11671, and LNAI 11672 constitutes the thoroughly refereed proceedings of the 16th Pacific Rim Conference on Artificial Intelligence, PRICAI 2019, held in Cuvu, Yanuca Island, Fiji, in August 2019. The 111 full papers and 13 short papers presented in these volumes were carefully reviewed and selected from 265 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.
Author : Chan Sin-wai
Publisher : Routledge
ISBN 13 : 1317608151
Total Pages : 757 pages
Book Rating : 4.3/5 (176 download)
Book Synopsis Routledge Encyclopedia of Translation Technology by : Chan Sin-wai
Download or read book Routledge Encyclopedia of Translation Technology written by Chan Sin-wai and published by Routledge. This book was released on 2014-11-13 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Routledge Encyclopedia of Translation Technology provides a state-of-the art survey of the field of computer-assisted translation. It is the first definitive reference to provide a comprehensive overview of the general, regional and topical aspects of this increasingly significant area of study. The Encyclopedia is divided into three parts: Part One presents general issues in translation technology, such as its history and development, translator training and various aspects of machine translation, including a valuable case study of its teaching at a major university; Part Two discusses national and regional developments in translation technology, offering contributions covering the crucial territories of China, Canada, France, Hong Kong, Japan, South Africa, Taiwan, the Netherlands and Belgium, the United Kingdom and the United States Part Three evaluates specific matters in translation technology, with entries focused on subjects such as alignment, bitext, computational lexicography, corpus, editing, online translation, subtitling and technology and translation management systems. The Routledge Encyclopedia of Translation Technology draws on the expertise of over fifty contributors from around the world and an international panel of consultant editors to provide a selection of articles on the most pertinent topics in the discipline. All the articles are self-contained, extensively cross-referenced, and include useful and up-to-date references and information for further reading. It will be an invaluable reference work for anyone with a professional or academic interest in the subject.
Author : Anders Søgaard
Publisher : Springer Nature
ISBN 13 : 3031021495
Total Pages : 93 pages
Book Rating : 4.0/5 (31 download)
Book Synopsis Semi-Supervised Learning and Domain Adaptation in Natural Language Processing by : Anders Søgaard
Download or read book Semi-Supervised Learning and Domain Adaptation in Natural Language Processing written by Anders Søgaard and published by Springer Nature. This book was released on 2022-05-31 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data. One reason for that is data sparsity, i.e., the limited amounts of data we have available in NLP. However, in most real-world NLP applications our labeled data is also heavily biased. This book introduces extensions of supervised learning algorithms to cope with data sparsity and different kinds of sampling bias. This book is intended to be both readable by first-year students and interesting to the expert audience. My intention was to introduce what is necessary to appreciate the major challenges we face in contemporary NLP related to data sparsity and sampling bias, without wasting too much time on details about supervised learning algorithms or particular NLP applications. I use text classification, part-of-speech tagging, and dependency parsing as running examples, and limit myself to a small set of cardinal learning algorithms. I have worried less about theoretical guarantees ("this algorithm never does too badly") than about useful rules of thumb ("in this case this algorithm may perform really well"). In NLP, data is so noisy, biased, and non-stationary that few theoretical guarantees can be established and we are typically left with our gut feelings and a catalogue of crazy ideas. I hope this book will provide its readers with both. Throughout the book we include snippets of Python code and empirical evaluations, when relevant.
Author : Marios Polycarpou
Publisher : Springer
ISBN 13 : 3319076175
Total Pages : 728 pages
Book Rating : 4.3/5 (19 download)
Book Synopsis Hybrid Artificial Intelligence Systems by : Marios Polycarpou
Download or read book Hybrid Artificial Intelligence Systems written by Marios Polycarpou and published by Springer. This book was released on 2014-05-21 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 9th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2014, held in Salamanca, Spain, in June 2014. The 61 papers published in this volume were carefully reviewed and selected from 199 submissions. They are organized in topical sessions on HAIS applications; data mining and knowledge discovery; video and image analysis; bio-inspired models and evolutionary computation; learning algorithms; hybrid intelligent systems for data mining and applications and classification and cluster analysis.
Author : Maosong Sun
Publisher : Springer
ISBN 13 : 3642414915
Total Pages : 367 pages
Book Rating : 4.6/5 (424 download)
Book Synopsis Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data by : Maosong Sun
Download or read book Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data written by Maosong Sun and published by Springer. This book was released on 2013-10-04 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th China National Conference on Computational Linguistics, CCL 2013, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2013, held in Suzhou, China, in October 2013. The 32 papers presented were carefully reviewed and selected from 252 submissions. The papers are organized in topical sections on word segmentation; open-domain question answering; discourse, coreference and pragmatics; statistical and machine learning methods in NLP; semantics; text mining, open-domain information extraction and machine reading of the Web; sentiment analysis, opinion mining and text classification; lexical semantics and ontologies; language resources and annotation; machine translation; speech recognition and synthesis; tagging and chunking; and large-scale knowledge acquisition and reasoning.
Author : Nguyen-Thinh Le
Publisher : Springer
ISBN 13 : 331961911X
Total Pages : 242 pages
Book Rating : 4.3/5 (196 download)
Book Synopsis Advanced Computational Methods for Knowledge Engineering by : Nguyen-Thinh Le
Download or read book Advanced Computational Methods for Knowledge Engineering written by Nguyen-Thinh Le and published by Springer. This book was released on 2017-06-26 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings consist of 19 papers, which have been peer-reviewed by international program committee and selected for the 5th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2017), which was held on June 30–July 1, 2017 in Berlin, Germany. The respective chapters discuss both theoretical and practical issues in connection with computational methods and optimization methods for knowledge engineering. The broad range of application areas discussed includes network computing, simulation, intelligent and adaptive e-learning, information retrieval, sentiment analysis, autonomous underwater vehicles, social media analysis, natural language processing, biomimetics in organizations, and cash management. In addition to pure content, the book offers many inspiring ideas and suggests new research directions, making it a valuable resource for graduate students, Ph.D. students, and researchers in Computer Science and Applied Mathematics alike.
Author : Hien T. Nguyen
Publisher : Springer
ISBN 13 : 3319423452
Total Pages : 366 pages
Book Rating : 4.3/5 (194 download)
Book Synopsis Computational Social Networks by : Hien T. Nguyen
Download or read book Computational Social Networks written by Hien T. Nguyen and published by Springer. This book was released on 2016-07-11 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Computational Social Networks, CSoNet 2016, held in Ho Chi Minh City, Vietnam, in August 2016. The 30 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers cover topics on common principles, algorithms and tools that govern social network structures/topologies, functionalities, social interactions, security and privacy, network behaviors, information diffusions and influence, social recommendation systems which are applicable to all types of social networks and social media.
