Structure Discovery In Natural Language

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Structure Discovery in Natural Language

Author : Chris Biemann
Publisher : Springer Science & Business Media
ISBN 13 : 3642259235
Total Pages : 180 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Structure Discovery in Natural Language by : Chris Biemann

Download or read book Structure Discovery in Natural Language written by Chris Biemann and published by Springer Science & Business Media. This book was released on 2011-12-08 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current language technology is dominated by approaches that either enumerate a large set of rules, or are focused on a large amount of manually labelled data. The creation of both is time-consuming and expensive, which is commonly thought to be the reason why automated natural language understanding has still not made its way into “real-life” applications yet. This book sets an ambitious goal: to shift the development of language processing systems to a much more automated setting than previous works. A new approach is defined: what if computers analysed large samples of language data on their own, identifying structural regularities that perform the necessary abstractions and generalisations in order to better understand language in the process? After defining the framework of Structure Discovery and shedding light on the nature and the graphic structure of natural language data, several procedures are described that do exactly this: let the computer discover structures without supervision in order to boost the performance of language technology applications. Here, multilingual documents are sorted by language, word classes are identified, and semantic ambiguities are discovered and resolved without using a dictionary or other explicit human input. The book concludes with an outlook on the possibilities implied by this paradigm and sets the methods in perspective to human computer interaction. The target audience are academics on all levels (undergraduate and graduate students, lecturers and professors) working in the fields of natural language processing and computational linguistics, as well as natural language engineers who are seeking to improve their systems.

Structure Discovery in Natural Language

Author :
Publisher :
ISBN 13 : 9783642259241
Total Pages : 200 pages
Book Rating : 4.2/5 (592 download)

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Book Synopsis Structure Discovery in Natural Language by :

Download or read book Structure Discovery in Natural Language written by and published by . This book was released on 2011-12-09 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algebraic Structures in Natural Language

Author : Shalom Lappin
Publisher : CRC Press
ISBN 13 : 1000817873
Total Pages : 309 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Algebraic Structures in Natural Language by : Shalom Lappin

Download or read book Algebraic Structures in Natural Language written by Shalom Lappin and published by CRC Press. This book was released on 2022-12-23 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language. Until recently algebraic systems have dominated the study of natural language in formal and computational linguistics, AI, and the psychology of language, with linguistic knowledge seen as encoded in formal grammars, model theories, proof theories and other rule-driven devices. Recent work on deep learning has produced an increasingly powerful set of general learning mechanisms which do not apply rule-based algebraic models of representation. The success of deep learning in NLP has led some researchers to question the role of algebraic models in the study of human language acquisition and linguistic representation. Psychologists and cognitive scientists have also been exploring explanations of language evolution and language acquisition that rely on probabilistic methods, social interaction and information theory, rather than on formal models of grammar induction. This book addresses the learning procedures through which humans acquire natural language, and the way in which they represent its properties. It brings together leading researchers from computational linguistics, psychology, behavioral science and mathematical linguistics to consider the significance of non-algebraic methods for the study of natural language. The text represents a wide spectrum of views, from the claim that algebraic systems are largely irrelevant to the contrary position that non-algebraic learning methods are engineering devices for efficiently identifying the patterns that underlying grammars and semantic models generate for natural language input. There are interesting and important perspectives that fall at intermediate points between these opposing approaches, and they may combine elements of both. It will appeal to researchers and advanced students in each of these fields, as well as to anyone who wants to learn more about the relationship between computational models and natural language.

Modern Computational Models of Semantic Discovery in Natural Language

Author : Žižka, Jan
Publisher : IGI Global
ISBN 13 : 146668691X
Total Pages : 335 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Modern Computational Models of Semantic Discovery in Natural Language by : Žižka, Jan

Download or read book Modern Computational Models of Semantic Discovery in Natural Language written by Žižka, Jan and published by IGI Global. This book was released on 2015-07-17 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Language—that is, oral or written content that references abstract concepts in subtle ways—is what sets us apart as a species, and in an age defined by such content, language has become both the fuel and the currency of our modern information society. This has posed a vexing new challenge for linguists and engineers working in the field of language-processing: how do we parse and process not just language itself, but language in vast, overwhelming quantities? Modern Computational Models of Semantic Discovery in Natural Language compiles and reviews the most prominent linguistic theories into a single source that serves as an essential reference for future solutions to one of the most important challenges of our age. This comprehensive publication benefits an audience of students and professionals, researchers, and practitioners of linguistics and language discovery. This book includes a comprehensive range of topics and chapters covering digital media, social interaction in online environments, text and data mining, language processing and translation, and contextual documentation, among others.

Survey of the State of the Art in Human Language Technology

Author : Giovanni Battista Varile
Publisher : Cambridge University Press
ISBN 13 : 9780521592772
Total Pages : 546 pages
Book Rating : 4.5/5 (927 download)

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Book Synopsis Survey of the State of the Art in Human Language Technology by : Giovanni Battista Varile

Download or read book Survey of the State of the Art in Human Language Technology written by Giovanni Battista Varile and published by Cambridge University Press. This book was released on 1997 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: Languages, in all their forms, are the more efficient and natural means for people to communicate. Enormous quantities of information are produced, distributed and consumed using languages. Human language technology's main purpose is to allow the use of automatic systems and tools to assist humans in producing and accessing information, to improve communication between humans, and to assist humans in communicating with machines. This book, sponsored by the Directorate General XIII of the European Union and the Information Science and Engineering Directorate of the National Science Foundation, USA, offers the first comprehensive overview of the human language technology field.

Complexity Applications in Language and Communication Sciences

Author : Àngels Massip-Bonet
Publisher : Springer
ISBN 13 : 3030045986
Total Pages : 331 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Complexity Applications in Language and Communication Sciences by : Àngels Massip-Bonet

Download or read book Complexity Applications in Language and Communication Sciences written by Àngels Massip-Bonet and published by Springer. This book was released on 2019-01-11 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers insights on the study of natural language as a complex adaptive system. It discusses a new way to tackle the problem of language modeling, and provides clues on how the close relation between natural language and some biological structures can be very fruitful for science. The book examines the theoretical framework and then applies its main principles to various areas of linguistics. It discusses applications in language contact, language change, diachronic linguistics, and the potential enhancement of classical approaches to historical linguistics by means of new methodologies used in physics, biology, and agent systems theory. It shows how studying language evolution and change using computational simulations enables to integrate social structures in the evolution of language, and how this can give rise to a new way to approach sociolinguistics. Finally, it explores applications for discourse analysis, semantics and cognition.

Linguistic Fundamentals for Natural Language Processing

Author : Emily M. Bender
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627050124
Total Pages : 186 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Linguistic Fundamentals for Natural Language Processing by : Emily M. Bender

Download or read book Linguistic Fundamentals for Natural Language Processing written by Emily M. Bender and published by Morgan & Claypool Publishers. This book was released on 2013-06-01 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many NLP tasks have at their core a subtask of extracting the dependencies—who did what to whom—from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. Understanding how languages solve the problem can be extremely useful in both feature design and error analysis in the application of machine learning to NLP. Likewise, understanding cross-linguistic variation can be important for the design of MT systems and other multilingual applications. The purpose of this book is to present in a succinct and accessible fashion information about the morphological and syntactic structure of human languages that can be useful in creating more linguistically sophisticated, more language-independent, and thus more successful NLP systems. Table of Contents: Acknowledgments / Introduction/motivation / Morphology: Introduction / Morphophonology / Morphosyntax / Syntax: Introduction / Parts of speech / Heads, arguments, and adjuncts / Argument types and grammatical functions / Mismatches between syntactic position and semantic roles / Resources / Bibliography / Author's Biography / General Index / Index of Languages

Dynamics On and Of Complex Networks

Author : Niloy Ganguly
Publisher : Springer Science & Business Media
ISBN 13 : 0817647511
Total Pages : 310 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Dynamics On and Of Complex Networks by : Niloy Ganguly

Download or read book Dynamics On and Of Complex Networks written by Niloy Ganguly and published by Springer Science & Business Media. This book was released on 2009-06-20 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. The theories related to complex networks are increasingly being used by researchers for their usefulness in harnessing the most difficult problems of a particular discipline. The book is a collection of surveys and cutting-edge research contributions exploring the interdisciplinary relationship of dynamics on and of complex networks. Topics covered include complex networks found in nature—genetic pathways, ecological networks, linguistic systems, and social systems—as well as man-made systems such as the World Wide Web and peer-to-peer networks. The contributed chapters in this volume are intended to promote cross-fertilization in several research areas, and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in systems exhibiting an underlying complex network structure in disciplines such as computer science, biology, statistical physics, nonlinear dynamics, linguistics, and the social sciences.

Linguistic Structure Prediction

Author : Noah A. Smith
Publisher : Springer Nature
ISBN 13 : 3031021436
Total Pages : 248 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Linguistic Structure Prediction by : Noah A. Smith

Download or read book Linguistic Structure Prediction written by Noah A. Smith and published by Springer Nature. This book was released on 2022-05-31 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. We also survey natural language processing problems to which these methods are being applied, and we address related topics in probabilistic inference, optimization, and experimental methodology. Table of Contents: Representations and Linguistic Data / Decoding: Making Predictions / Learning Structure from Annotated Data / Learning Structure from Incomplete Data / Beyond Decoding: Inference

Natural Language Processing and Information Systems

Author : Andrés Montoyo
Publisher : Springer Science & Business Media
ISBN 13 : 3540260315
Total Pages : 418 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Natural Language Processing and Information Systems by : Andrés Montoyo

Download or read book Natural Language Processing and Information Systems written by Andrés Montoyo and published by Springer Science & Business Media. This book was released on 2005-06-01 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: NLDB 2005, the 10th International Conference on Applications of Natural L- guage to Information Systems, was held on June 15–17, 2005 at the University of Alicante, Spain. Since the ?rst NLDB conference in 1995 the main goal has been to provide a forum to discuss and disseminate research on the integration of natural language resources in information system engineering. The development and convergence of computing, telecommunications and information systems has already led to a revolution in the way that we work, communicate with each other, buy goods and use services, and even in the way that weentertainandeducate ourselves.The revolutioncontinues,andoneof its results is that large volumes of information will increasingly be held in a form which is more natural for users than the data presentation formats typical of computer systems of the past. Natural language processing (NLP) is crucial in solving these problems, and language technologies will make an indispensable contribution to the success of information systems. We hope that NLDB 2005 was a modest contribution to this goal. NLDB 2005 contributed to advancing the goals and the high international standing of these conferences, largely due to its Program Committee, composed of renowned researchers in the ?eld of natural language processing and inf- mation system engineering. Papers were reviewed by three reviewers from the Program Committee. This clearly contributed to the signi?cant number of - pers submitted(95).Twenty-ninewereacceptedasregularpapers,while18were accepted as short papers.

Encyclopedia of Bioinformatics and Computational Biology

Author :
Publisher : Elsevier
ISBN 13 : 0128114320
Total Pages : 3421 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Encyclopedia of Bioinformatics and Computational Biology by :

Download or read book Encyclopedia of Bioinformatics and Computational Biology written by and published by Elsevier. This book was released on 2018-08-21 with total page 3421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases

Controlled Natural Language

Author : Norbert E Fuchs
Publisher : Springer Science & Business Media
ISBN 13 : 3642144179
Total Pages : 299 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Controlled Natural Language by : Norbert E Fuchs

Download or read book Controlled Natural Language written by Norbert E Fuchs and published by Springer Science & Business Media. This book was released on 2010-07-12 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the Workshop on Controlled Natural Language, CNL 2009, held in Marettimo Island, Italy, in June 2009. The 16 revised full papers presented together with 1 invited lecture were carefully reviewed and selected during two rounds of reviewing and improvement from 31 initial submissions. The papers are roughly divided into the two groups language aspects and tools and applications. Note that some papers fall actually into both groups: using a controlled natural language in an application domain often requires domain-specific language features.

Natural Language Processing

Author : Epaminondas Kapetanios
Publisher : CRC Press
ISBN 13 : 1466584971
Total Pages : 346 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Natural Language Processing by : Epaminondas Kapetanios

Download or read book Natural Language Processing written by Epaminondas Kapetanios and published by CRC Press. This book was released on 2013-11-14 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, and the nature of language. The book also emphasizes the portions of mathematics needed to understand the discussed algorithms.

Soft Computing Applications and Intelligent Systems

Author : Shahrul Azman Noah
Publisher : Springer
ISBN 13 : 3642405673
Total Pages : 303 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Soft Computing Applications and Intelligent Systems by : Shahrul Azman Noah

Download or read book Soft Computing Applications and Intelligent Systems written by Shahrul Azman Noah and published by Springer. This book was released on 2013-08-16 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Second International Multi-Conference on Artificial Intelligence Technology, M-CAIT 2013, held in Shah Alam, in August 2013. The 25 revised full papers presented were carefully reviewed and selected from 110 submissions. M-CAIT 2013 hosted four special tracks in a single event: Intelligence Computation on Pattern Analysis and Robotics (ICPAIR 2013), Data Mining and Optimization (DMO 2013), Semantic Technology and Information Retrieval (STAIR 2013) and Industrial Computing & Applied Informatics (IComp 2013). The papers address issues of state-of-the-art research, development, implementation and applications within the four focus areas in CAIT: pattern recognition, data mining and optimization, knowledge technology and industrial computing.

Formalized Natural Languages

Author : dr. ir. Andries Van Renssen
Publisher : Lulu.com
ISBN 13 : 1304603768
Total Pages : 239 pages
Book Rating : 4.3/5 (46 download)

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Book Synopsis Formalized Natural Languages by : dr. ir. Andries Van Renssen

Download or read book Formalized Natural Languages written by dr. ir. Andries Van Renssen and published by Lulu.com. This book was released on 2013 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition and Computer Vision

Author : Qingshan Liu
Publisher : Springer Nature
ISBN 13 : 9819985404
Total Pages : 525 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Pattern Recognition and Computer Vision by : Qingshan Liu

Download or read book Pattern Recognition and Computer Vision written by Qingshan Liu and published by Springer Nature. This book was released on 2024-01-25 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.

Chinese Computational Linguistics

Author : Maosong Sun
Publisher : Springer Nature
ISBN 13 : 3030630315
Total Pages : 483 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Chinese Computational Linguistics by : Maosong Sun

Download or read book Chinese Computational Linguistics written by Maosong Sun and published by Springer Nature. This book was released on 2020-11-12 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 19th China National Conference on Computational Linguistics, CCL 2020, held in Hainan, China, in October/November 2020. The 32 full and 2 short papers presented in this volume were carefully reviewed and selected from 99 submissions. They were organized in topical sections named: fundamental theory and methods of computational linguistics; information retrieval, dialogue and question answering; text generation and summarization; knowledge graph and information extraction; machine translation and multilingual information processing; minority language information processing; language resource and evaluation; social computing and sentiment analysis; and NLP applications.