Foundations of statistical natural language processing, Manning, Christopher D. Schutze, Hinrich
Автор: Agarwal Название: Statistical Methods for Recommender Systems ISBN: 1107036070 ISBN-13(EAN): 9781107036079 Издательство: Cambridge Academ Рейтинг: Цена: 3642 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an in-depth discussion of challenges encountered in deploying real-life large-scale systems and the state-of-the-art solutions in personalization.
Описание: The central task of a future-oriented computational linguistics is the development of cognitive machines which humans can freely talk with in their respective natural language. In the long run, this task will ensure the development of a functional theory of language, an objective method of verification,and a wide range of practical applications.Natural communication requires not only verbal processing, but also non-verbal perception and action. Therefore the content of this textbook is organized as a theory of language for the construction of talking robots. The main topic is the mechanism of natural language communication in both the speaker and the hearer. The book contains more than 700 exercises for reviewing key ideas and important problems.In the 2nd edition, Chapters 22-24 have been completely rewritten. They present a declarative outline for programming the semantic and pragmatic interpretation of natural language communication.
Описание: This book constitutes the refereed proceedings of the 9th International Conference on Applications of Natural Language to Information Systems, NLDB 2004, held in Salford, UK in June 2004.The 29 revised full papers and 13 revised short papers presented were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on natural language, conversational systems, intelligent querying, linguistic aspects of modeling, information retrieval, natural language text understanding, knowledge bases, knowledge management and content management.
Описание: This book constitutes the refereed proceedings of the 10th International Conference on Applications of Natural Language to Information Systems, NLDB 2005, held in Alicante, Spain in June 2005.The 29 revised full papers and 18 revised short papers presented were carefully reviewed and selected from 95 submissions. Among the topics addressed are SQL queries, text representation, information retrieval, text categorization, textual mining, information extraction, semantic relations, document analysis, knowledge-based information extraction, entity recognition, textual databases, machine translation, Web content filtering, text mining, lexical relations, semantic annotation, multilingual database quering, question answering, and knowledge extraction.
Автор: Kao Anne, Poteet Steve R. Название: Natural Language Processing and Text Mining ISBN: 184628175X ISBN-13(EAN): 9781846281754 Издательство: Springer Рейтинг: Цена: 12154 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discusses applications of certain NLP techniques to certain Text Mining tasks, and the use of Text Mining to facilitate NLP. This book explores real-world applications of NLP and text-mining algorithms, emphasising on the description of end-to-end solutions, and detailing the associated difficulties related to the application of the algorithm.
Описание: This book constitutes the thoroughly refereed proceedings of the Second International Joint Conference on Natural Language Processing, IJCNLP 2005, held in Jeju Island, Korea in October 2005.The 88 revised full papers presented in this volume were carefully reviewed and selected from 289 submissions. The papers are organized in topical sections on information retrieval, corpus-based parsing, Web mining, rule-based parsing, disambiguation, text mining, document analysis, ontology and thesaurus, relation extraction, text classification, transliteration, machine translation, question answering, morphological analysis, text summarization, named entity recognition, linguistic resources and tools, discourse analysis, semantic analysis NLP applications, tagging, language models, spoken language, and terminology mining.
Автор: Edited by Madeleine Bates Название: Challenges in Natural Language Processing ISBN: 0521032261 ISBN-13(EAN): 9780521032261 Издательство: Cambridge Academ Рейтинг: Цена: 2497 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Although natural language processing has come far, the technology has not achieved a major impact on society. Is this because of some fundamental limitation that cannot be overcome? Or because there has not been enough time to refine and apply theoretical work already done? Editors Madeleine Bates and Ralph Weischedel believe it is neither; they feel that several critical issues have never been adequately addressed in either theoretical or applied work, and they have invited capable researchers in the field to do that in Challenges in Natural Language Processing. This volume will be of interest to researchers of computational linguistics in academic and non-academic settings and to graduate students in computational linguistics, artificial intelligence and linguistics.
Описание: 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.
Описание: The cross-linguistic aspect of language processing is becoming a central question in psycholinguistic research: if the goal of psycholinguists is to give a model of the human sentence processor, and not `a language' sentence processor, a test of its cross-linguistic validity is essential. The chapters address truly fundamental issues about the representational primitives of the parsing system and the motivations for the essential characteristics of the parser. The volume also discusses important methodological issues in cross-linguistic research, such as the choices of linguistic material and experimental procedures. It also shows how cross-linguistic research can be pursued in either a monolingual or multilingual approach. This volume contains contributions from experimental and theoretical psycholinguists, and computational researchers. Audience: The book is recommended reading for advanced undergraduates and graduate students in psycholinguistics, linguistics and computational linguisitics, as well as practising researchers in the same fields.
Описание: This book constitutes the thoroughly refereed proceedings of the 5th International Symposium on Chinese Spoken Language Processing, ISCSLP 2006, held in Singapore in December 2006, colocated with ICCPOL 2006, the 21st International Conference on Computer Processing of Oriental Languages.The 74 revised full papers presented together with 5 invited papers were carefully reviewed and selected from 183 submissions. The papers are organized in topical sections on topics in speech science, speech analysis, speech synthesis and generation, speech enhancement, acoustic modeling for automatic speech recognition, robust speech recognition, speech adaptation/normalization, general topics in speech recognition, large vocabulary continuous speech recognition, multilingual recognition and identification, speaker recognition and characterization, spoken language understanding, human language acquisition, development and learning, spoken and multimodal dialog systems, speech data mining and document retrieval, machine translation of speech, as well as spoken language resources and annotation.
Автор: Watanabe Название: Bayesian Speech and Language Processing ISBN: 1107055571 ISBN-13(EAN): 9781107055575 Издательство: Cambridge Academ Рейтинг: Цена: 6453 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A practical and comprehensive guide on how to apply Bayesian machine learning techniques to solve speech and language processing problems.
Описание: This book presents revised versions of lectures given at the Summer Convention on Information Extraction, SCIE 2002, held in Frascati, Italy in July 2002.The following lectures by leading authorities in the field of information extraction are included:- acquisition of domain knowledge- terminology mining- finite-state approaches to Web IE- measuring term representatives- agent-based ontological mediation in IE systems - information retrieval and IE in question answering systems- natural language communication with virtual actors
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