Word Sense Disambiguation

Word Sense Disambiguation PDF Author: Eneko Agirre
Publisher: Springer Science & Business Media
ISBN: 1402048092
Category : Language Arts & Disciplines
Languages : en
Pages : 381

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Book Description
This is the first comprehensive book to cover all aspects of word sense disambiguation. It covers major algorithms, techniques, performance measures, results, philosophical issues and applications. The text synthesizes past and current research across the field, and helps developers grasp which techniques will best apply to their particular application, how to build and evaluate systems, and what performance to expect. An accompanying Website extends the effectiveness of the text.

Word Sense Disambiguation

Word Sense Disambiguation PDF Author: Eneko Agirre
Publisher: Springer Science & Business Media
ISBN: 1402048092
Category : Language Arts & Disciplines
Languages : en
Pages : 381

Get Book Here

Book Description
This is the first comprehensive book to cover all aspects of word sense disambiguation. It covers major algorithms, techniques, performance measures, results, philosophical issues and applications. The text synthesizes past and current research across the field, and helps developers grasp which techniques will best apply to their particular application, how to build and evaluate systems, and what performance to expect. An accompanying Website extends the effectiveness of the text.

Word Sense Disambiguation

Word Sense Disambiguation PDF Author: Eneko Agirre
Publisher: Springer
ISBN: 9781402068706
Category : Language Arts & Disciplines
Languages : en
Pages : 0

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Book Description
This is the first comprehensive book to cover all aspects of word sense disambiguation. It covers major algorithms, techniques, performance measures, results, philosophical issues and applications. The text synthesizes past and current research across the field, and helps developers grasp which techniques will best apply to their particular application, how to build and evaluate systems, and what performance to expect. An accompanying Website extends the effectiveness of the text.

SIGIR ’94

SIGIR ’94 PDF Author: W. Bruce Croft
Publisher: Springer Science & Business Media
ISBN: 144712099X
Category : Computers
Languages : en
Pages : 371

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Book Description
Information retrieval (IR) is becoming an increasingly important area as scientific, business and government organisations take up the notion of "information superhighways" and make available their full text databases for searching. Containing a selection of 35 papers taken from the 17th Annual SIGIR Conference held in Dublin, Ireland in July 1994, the book addresses basic research and provides an evaluation of information retrieval techniques in applications. Topics covered include text categorisation, indexing, user modelling, IR theory and logic, natural language processing, statistical and probabilistic models of information retrieval systems, routing, passage retrieval, and implementation issues.

Computational Linguistics and Intelligent Text Processing

Computational Linguistics and Intelligent Text Processing PDF Author: Alexander Gelbukh
Publisher: Springer
ISBN: 3540364560
Category : Language Arts & Disciplines
Languages : en
Pages : 664

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Book Description
CICLing 2003 (www.CICLing.org) was the 4th annual Conference on Intelligent Text Processing and Computational Linguistics. It was intended to provide a balanced view of the cutting-edge developments in both the theoretical foundations of computational linguistics and the practice of natural language text processing with its numerous applications. A feature of CICLing conferences is their wide scope that covers nearly all areas of computational linguistics and all aspects of natural language processing applications. The conference is a forum for dialogue between the specialists working in these two areas. This year we were honored by the presence of our keynote speakers Eric Brill (Microsoft Research, USA), Aravind Joshi (U. Pennsylvania, USA), Adam Kilgarriff (Brighton U., UK), and Ted Pedersen (U. Minnesota, USA), who delivered excellent extended lectures and organized vivid discussions. Of 92 submissions received, after careful reviewing 67 were selected for presentation; 43 as full papers and 24 as short papers, by 150 authors from 23 countries: Spain (23 authors), China (20), USA (16), Mexico (13), Japan (12), UK (11), Czech Republic (8), Korea and Sweden (7 each), Canada and Ireland (5 each), Hungary (4), Brazil (3), Belgium, Germany, Italy, Romania, Russia and Tunisia (2 each), Cuba, Denmark, Finland and France (1 each).

The Naïve Bayes Model for Unsupervised Word Sense Disambiguation

The Naïve Bayes Model for Unsupervised Word Sense Disambiguation PDF Author: Florentina T. Hristea
Publisher: Springer Science & Business Media
ISBN: 3642336930
Category : Mathematics
Languages : en
Pages : 79

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Book Description
This book presents recent advances (from 2008 to 2012) concerning use of the Naïve Bayes model in unsupervised word sense disambiguation (WSD). While WSD, in general, has a number of important applications in various fields of artificial intelligence (information retrieval, text processing, machine translation, message understanding, man-machine communication etc.), unsupervised WSD is considered important because it is language-independent and does not require previously annotated corpora. The Naïve Bayes model has been widely used in supervised WSD, but its use in unsupervised WSD has led to more modest disambiguation results and has been less frequent. It seems that the potential of this statistical model with respect to unsupervised WSD continues to remain insufficiently explored. The present book contends that the Naïve Bayes model needs to be fed knowledge in order to perform well as a clustering technique for unsupervised WSD and examines three entirely different sources of such knowledge for feature selection: WordNet, dependency relations and web N-grams. WSD with an underlying Naïve Bayes model is ultimately positioned on the border between unsupervised and knowledge-based techniques. The benefits of feeding knowledge (of various natures) to a knowledge-lean algorithm for unsupervised WSD that uses the Naïve Bayes model as clustering technique are clearly highlighted. The discussion shows that the Naïve Bayes model still holds promise for the open problem of unsupervised WSD.

Proceedings of International Conference on Machine Intelligence and Data Science Applications

Proceedings of International Conference on Machine Intelligence and Data Science Applications PDF Author: Manish Prateek
Publisher: Springer Nature
ISBN: 9813340878
Category : Technology & Engineering
Languages : en
Pages : 786

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Book Description
This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The book starts by addressing the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis have been included with upfront details. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber physical system and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

Computational Linguistics in the Netherlands 2000

Computational Linguistics in the Netherlands 2000 PDF Author: Walter Daelemans
Publisher: Rodopi
ISBN: 9789042012578
Category : Computational linguistics
Languages : en
Pages : 216

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Book Description
This volume provides a selection of the papers which were presented at the eleventh conference on Computational Linguistics in the Netherlands (Tilburg, 2000). It gives an accurate and up-to-date picture of the lively scene of computational linguistics in the Netherlands and Flanders. The volume covers the whole range from theoretical to applied research and development, and is hence of interest to both academia and industry. The target audience consists of students and scholars of computational linguistics, and speech and language processing (Linguistics, Computer Science, Electrical Engineering).

Knowledge-Based Systems

Knowledge-Based Systems PDF Author: Rajendra Akerkar
Publisher: Jones & Bartlett Publishers
ISBN: 1449662706
Category : Computers
Languages : en
Pages : 375

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Book Description
A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of knowledge-based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters is designed to be modular, providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.

Semantic Interpretation and the Resolution of Ambiguity

Semantic Interpretation and the Resolution of Ambiguity PDF Author: Graeme Hirst
Publisher: Cambridge University Press
ISBN: 9780521428989
Category : Computers
Languages : en
Pages : 284

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Book Description
Semantic interpretation and the resolution of ambiguity presents an important advance in computer understanding of natural language. While parsing techniques have been greatly improved in recent years, the approach to semantics has generally improved in recent years, the approach to semantics has generally been ad hoc and had little theoretical basis. Graeme Hirst offers a new, theoretically motivated foundation for conceptual analysis by computer, and shows how this framework facilitates the resolution of lexical and syntactic ambiguities. His approach is interdisciplinary, drawing on research in computational linguistics, artificial intelligence, montague semantics, and cognitive psychology.

Cognitive Approach to Natural Language Processing

Cognitive Approach to Natural Language Processing PDF Author: Bernadette Sharp
Publisher: Elsevier
ISBN: 008102343X
Category : Computers
Languages : en
Pages : 236

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Book Description
As natural language processing spans many different disciplines, it is sometimes difficult to understand the contributions and the challenges that each of them presents. This book explores the special relationship between natural language processing and cognitive science, and the contribution of computer science to these two fields. It is based on the recent research papers submitted at the international workshops of Natural Language and Cognitive Science (NLPCS) which was launched in 2004 in an effort to bring together natural language researchers, computer scientists, and cognitive and linguistic scientists to collaborate together and advance research in natural language processing. The chapters cover areas related to language understanding, language generation, word association, word sense disambiguation, word predictability, text production and authorship attribution. This book will be relevant to students and researchers interested in the interdisciplinary nature of language processing. - Discusses the problems and issues that researchers face, providing an opportunity for developers of NLP systems to learn from cognitive scientists, cognitive linguistics and neurolinguistics - Provides a valuable opportunity to link the study of natural language processing to the understanding of the cognitive processes of the brain