Text Understanding In Lilog
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Understanding Log Linear Analysis With Ilog
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Author : Roger Bakeman
language : en
Publisher: Psychology Press
Release Date : 2013-02-01
Understanding Log Linear Analysis With Ilog written by Roger Bakeman and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-01 with Psychology categories.
Whenever data are categorical and their frequencies can be arrayed in multidimensional tables, log-linear analysis is appropriate. Like analysis of variance and multiple regression for quantitative data, log-linear analysis lets users ask which main effects and interactions affect an outcome of interest. Until recently, however, log-linear analysis seemed difficult -- accessible only to the statistically motivated and savvy. Designed for students and researchers who want to know more about this extension of the two-dimensional chi-square, this book introduces basic ideas in clear and straightforward prose and applies them to a core of example studies. ILOG -- a software program that runs on IBM compatible personal computers -- is included with this volume. This interactive program lets readers work through and explore examples provided throughout the book. Because ILOG is capable of serious log-linear analyses, readers gain not only understanding, but the means to put that understanding into practice as well.
Machine Learning For Text
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Author : Charu C. Aggarwal
language : en
Publisher: Springer
Release Date : 2018-03-19
Machine Learning For Text written by Charu C. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-19 with Computers categories.
Text analytics is a field that lies on the interface of information retrieval,machine learning, and natural language processing, and this textbook carefully covers a coherently organized framework drawn from these intersecting topics. The chapters of this textbook is organized into three categories: - Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for machine learning from text such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. - Domain-sensitive mining: Chapters 8 and 9 discuss the learning methods from text when combined with different domains such as multimedia and the Web. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. - Sequence-centric mining: Chapters 10 through 14 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, text summarization, information extraction, opinion mining, text segmentation, and event detection. This textbook covers machine learning topics for text in detail. Since the coverage is extensive,multiple courses can be offered from the same book, depending on course level. Even though the presentation is text-centric, Chapters 3 to 7 cover machine learning algorithms that are often used indomains beyond text data. Therefore, the book can be used to offer courses not just in text analytics but also from the broader perspective of machine learning (with text as a backdrop). This textbook targets graduate students in computer science, as well as researchers, professors, and industrial practitioners working in these related fields. This textbook is accompanied with a solution manual for classroom teaching.
Natural Language Understanding
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-05
Natural Language Understanding written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-05 with Computers categories.
What Is Natural Language Understanding The field of artificial intelligence known as natural-language processing includes a subfield known as natural-language understanding (NLU), often known as natural-language interpretation (NLI), which deals with the reading comprehension of machines. Understanding natural language is seen as a challenging topic for artificial intelligence. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Natural Language Understanding Chapter 2: Computational Linguistics Chapter 3: Natural Language Processing Chapter 4: Parsing Chapter 5: Question Answering Chapter 6: Semantic Role Labeling Chapter 7: Computational Semantics Chapter 8: Semantic Parsing Chapter 9: Natural-language User Interface Chapter 10: History of Natural Language Processing (II) Answering the public top questions about natural language understanding. (III) Real world examples for the usage of natural language understanding in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of natural language understanding' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of natural language understanding.
Semantics Oriented Natural Language Processing
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Author : Vladimir Fomichov A.
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-12-01
Semantics Oriented Natural Language Processing written by Vladimir Fomichov A. and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-01 with Science categories.
Gluecklich, die wissen, dass hinter allen Sprachen das Unsaegliche steht. Those are happy who know that behind all languages there is something unsaid Rainer Maria Rilke This book shows in a new way that a solution to a fundamental problem from one scienti?c ?eld can help to ?nd the solutions to important problems emerged in several other ?elds of science and technology. In modern science, the term “Natural Language” denotes the collection of all such languages that every language is used as a primary means of communication by people belonging to any country or any region. So Natural Language (NL) includes, in particular, the English, Russian, and German languages. The applied computer systems processing natural language printed or written texts (NL-texts) or oral speech with respect to the fact that the words are associated with some meanings are called semantics-oriented natural language processing s- tems (NLPSs). On one hand, this book is a snapshot of the current stage of a research p- gram started many years ago and called Integral Formal Semantics (IFS) of NL. The goal of this program has been to develop the formal models and methods he- ing to overcome the dif?culties of logical character associated with the engineering of semantics-oriented NLPSs. The designers of such systems of arbitrary kinds will ?nd in this book the formal means and algorithms being of great help in their work.
New Concepts In Natural Language Generation
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Author : Helmut Horacek
language : en
Publisher: Bloomsbury Publishing
Release Date : 2015-12-17
New Concepts In Natural Language Generation written by Helmut Horacek and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-17 with Language Arts & Disciplines categories.
This book aims to inform researchers with an interest in natural language generation about advances in the field. It is organised around four topics – system architectures, content planning, discourse planning and realisation in linguistic form - and it presents some of the most important works in this area of research.
Ontolinguistics
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Author : Andrea C. Schalley
language : en
Publisher: Walter de Gruyter
Release Date : 2008-08-22
Ontolinguistics written by Andrea C. Schalley and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-22 with Language Arts & Disciplines categories.
Current progress in linguistic theorizing is more and more informed by cross-linguistic (including cross-modal) investigation. Comparison of languages relies crucially on the concepts that can be coded with similar effort in all languages. These concepts are part of every language user's ontology, the network of cross-connected conceptualizations the mind uses in coping with the world. Assuming that language comparability is rooted in the comparability of user ontologies, the idea of the present volume is to further instigate progress in linguistics by looking behind the interface with the conceptual-intentional system and asking a still underexplored question: How are ontological structures reflected in intra- and cross-linguistic regularities? This question defines the research program of ontology based linguistics or ontolinguistics. Recent advances in the theory of language have been characterized by an emphasis on external explanatory adequacy and thus on relating language to other phenomena. The research program introduced in this volume adds a decisively distinct and fresh aspect to this emerging new contextualization of the field by bringing together insights from different areas, mainly linguistics, but also neuroscience, philosophy, and artificial intelligence. In providing these disciplines with a new common task, the exploration of the impact of ontological structures on linguistic regularities, the ontolinguistic approach promises to develop into a vital branch of cognitive science. Documenting the beginnings, the book aims to instigate future interdisciplinary research in this area. It will be of interest to researchers in linguistics, artificial intelligence, philosophy, and cognitive science in general.
Text Knowledge And Object Knowledge
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Author : Annely Rothkegel
language : en
Publisher: Bloomsbury Publishing
Release Date : 2015-12-17
Text Knowledge And Object Knowledge written by Annely Rothkegel and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-17 with Language Arts & Disciplines categories.
Rothkegel argues that text production is the result of interaction between text knowledge and object knowledge – the conventional ordering and presentation of knowledge for communicative purposes and the conceptual organisation of world knowledge.
Handbook Of Research On Web Log Analysis
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Author : Jansen, Bernard J.
language : en
Publisher: IGI Global
Release Date : 2008-10-31
Handbook Of Research On Web Log Analysis written by Jansen, Bernard J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-31 with Business & Economics categories.
"This book reflects on the multifaceted themes of Web use and presents various approaches to log analysis"--Provided by publisher.
Computational Lexical Semantics
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Author : Patrick Saint-Dizier
language : en
Publisher: Cambridge University Press
Release Date : 1995-02-24
Computational Lexical Semantics written by Patrick Saint-Dizier and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-02-24 with Computers categories.
Lexical semantics has become a major research area within computational linguistics, drawing from psycholinguistics, knowledge representation, and computer algorithms and architecture. Research programs whose goal is the definition of large lexicons are asking what the appropriate representation structure is for different facets of lexical information. Among these facets, semantic information is probably the most complex and the least explored. Computational Lexical Semantics is one of the first volumes to provide models for the creation of various kinds of computerized lexicons for the automatic treatment of natural language, with applications to machine translation, automatic indexing, and database front-ends, knowledge extraction, among other things. It focuses on semantic issues, as seen by linguists, psychologists, and computer scientists. Besides describing academic research, it also covers ongoing industrial projects.
Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing
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Author : Stefan Wermter
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-03-15
Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing written by Stefan Wermter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03-15 with Computers categories.
This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.