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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

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

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

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

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.

The Oxford Handbook of Computational Linguistics

The Oxford Handbook of Computational Linguistics PDF Author: Ruslan Mitkov
Publisher: Oxford University Press
ISBN: 019927634X
Category : Computers
Languages : en
Pages : 808

Book Description
This handbook of computational linguistics, written for academics, graduate students and researchers, provides a state-of-the-art reference to one of the most active and productive fields in linguistics.

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

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.

Proceeding of First Doctoral Symposium on Natural Computing Research

Proceeding of First Doctoral Symposium on Natural Computing Research PDF Author: Varsha H. Patil
Publisher: Springer Nature
ISBN: 9813340738
Category : Technology & Engineering
Languages : en
Pages : 509

Book Description
The book is a collection of papers presented at First Doctoral Symposium on Natural Computing Research (DSNCR 2020), held during 8 August 2020 in Pune, India. The book covers different topics of applied and natural computing methods having applications in physical sciences and engineering. The book focuses on computer vision and applications, soft computing, security for Internet of Things, security in heterogeneous networks, signal processing, intelligent transportation system, VLSI design and embedded systems, privacy and confidentiality, big data and cloud computing, bioinformatics and systems biology, remote healthcare, software security, mobile and pervasive computing, biometrics-based authentication, natural language processing, analysis and verification techniques, large scale networking, distributed systems, digital forensics, and human–computer interaction.

New Perspectives on Computational and Cognitive Strategies for Word Sense Disambiguation

New Perspectives on Computational and Cognitive Strategies for Word Sense Disambiguation PDF Author: Oi Yee Kwong
Publisher: Springer Science & Business Media
ISBN: 1461413206
Category : Technology & Engineering
Languages : en
Pages : 114

Book Description
Cognitive and Computational Strategies for Word Sense Disambiguation examines cognitive strategies by humans and computational strategies by machines, for WSD in parallel. Focusing on a psychologically valid property of words and senses, author Oi Yee Kwong discusses their concreteness or abstractness and draws on psycholinguistic data to examine the extent to which existing lexical resources resemble the mental lexicon as far as the concreteness distinction is concerned. The text also investigates the contribution of different knowledge sources to WSD in relation to this very intrinsic nature of words and senses.

Word Sense Disambiguation: Algorithms and Applications

Word Sense Disambiguation: Algorithms and Applications PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
This book describes the state of the art in Word Sense Disambiguation. Current algorithms and applications are presented.

Computational Linguistics and Intelligent Text Processing

Computational Linguistics and Intelligent Text Processing PDF Author: Alexander Gelbukh
Publisher: Elsevier
ISBN: 9783540005322
Category : Computers
Languages : en
Pages : 676

Book Description
This book constitutes the refereed proceedings of the 4th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2003, held in Mexico City, Mexico in February 2003. The 67 revised papers presented together with 4 keynote papers were carefully reviewed and selected from 92 submissions. The papers are organized in topical sections on computational linguistics formalisms; semantics and discourse; syntax and POS tagging; parsing techniques; morphology; word sense disambiguation; dictionary, lexicon, and ontology; corpus and language statistics; machine translation and bilingual corpora; text generation; natural language interfaces; speech processing; information retrieval and information extraction; text categorization and clustering; summarization; and spell-checking.

Foundations of Statistical Natural Language Processing

Foundations of Statistical Natural Language Processing PDF Author: Christopher Manning
Publisher: MIT Press
ISBN: 0262303795
Category : Language Arts & Disciplines
Languages : en
Pages : 719

Book Description
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.