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Special Feature On Natural Language Understanding And Logic Programming
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Book Synopsis Natural Language Understanding and Logic Programming, III by : Charles Grant Brown
Download or read book Natural Language Understanding and Logic Programming, III written by Charles Grant Brown and published by North Holland. This book was released on 1991 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addressed in this third workshop on natural language understanding and logic programming are a wide variety of issues and some interesting challenges for future work. For temporal expressions, the intriguing question is examined - Can we in fact provide the translation from the HOL system logic to NL and vice versa. Can we now develop NL systems that take advantage of this logic, and particularly, can we extend the system to deal with duration? Also, a strong formal linguistic base for natural language understanding programs is presented, as well as other topics including temporal persistence, natural semantics and logic, and alternative parses.
Book Synopsis Natural Language Understanding and Logic Programming, II by : Veronica Dahl
Download or read book Natural Language Understanding and Logic Programming, II written by Veronica Dahl and published by North Holland. This book was released on 1988 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural language semantics and pragmatics are now two major fields in linguistics, philosophy, artificial intelligence and computational linguistics. With the development of large and efficient Prolog interpreters and compilers and with the expansion of the theoretical aspects of logic programming, the study of natural language semantics and related pragmatic aspects is now becoming a very attractive topic. The proceedings of this workshop reflect these trends. The papers cover almost all the current research fields in natural language, including: morphology, syntax, parser design, generation, feature checking and specification, semantic representations and construction of cooperative responses. Articles on syntax deal with constraints to parsing and generation, rule pruning and comparison of logic-based language systems. The material on the compilers involves functional logic grammars and unification-based grammars. The work on semantics investigates logico-semantic induction, data semantics, comparatives, conceptual graphs, discourse representation, and graphs. Papers on pragmatics discuss disambiguation, cooperation with the user through integrity constraints, and question interpretation through epistemic reasoning. Panel discussions are centered around future directions of research as well as comparisons between different points of view about actual research projects.
Book Synopsis Natural Language Understanding and Logic Programming by :
Download or read book Natural Language Understanding and Logic Programming written by and published by . This book was released on 1984 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Logic Programming by : Philippe Codognet
Download or read book Logic Programming written by Philippe Codognet and published by Springer Science & Business Media. This book was released on 2001-11-14 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Conference on Logic Programming, ICLP 2001, held in Paphos, Cyprus in November/December 2001. The 23 revised full papers presented were carefully reviewed and selected from 64 submissions. All current aspects of logic programming and computational logics are addressed.
Book Synopsis Natural Language Processing with Python by : Steven Bird
Download or read book Natural Language Processing with Python written by Steven Bird and published by "O'Reilly Media, Inc.". This book was released on 2009-06-12 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
Download or read book Simply Logical written by Peter Flach and published by Wiley. This book was released on 1994-04-07 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to Prolog programming for artificial intelligence covering both basic and advanced AI material. A unique advantage to this work is the combination of AI, Prolog and Logic. Each technique is accompanied by a program implementing it. Seeks to simplify the basic concepts of logic programming. Contains exercises and authentic examples to help facilitate the understanding of difficult concepts.
Book Synopsis Natural Language Processing in Artificial Intelligence by : Brojo Kishore Mishra
Download or read book Natural Language Processing in Artificial Intelligence written by Brojo Kishore Mishra and published by CRC Press. This book was released on 2020-11-01 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.
Book Synopsis Natural Language Understanding and Logic Programming by : Veronica Dahl
Download or read book Natural Language Understanding and Logic Programming written by Veronica Dahl and published by North Holland. This book was released on 1985 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Declarative Logic Programming by : Michael Kifer
Download or read book Declarative Logic Programming written by Michael Kifer and published by Morgan & Claypool. This book was released on 2018-09-19 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of this book grew out of a symposium that was held at Stony Brook in September 2012 in celebration of David S.Warren's fundamental contributions to Computer Science and the area of Logic Programming in particular. Logic Programming (LP) is at the nexus of Knowledge Representation, Artificial Intelligence, Mathematical Logic, Databases, and Programming Languages. It is fascinating and intellectually stimulating due to the fundamental interplay among theory, systems, and applications brought about by logic. Logic programs are more declarative in the sense that they strive to be logical specifications of "what" to do rather than "how" to do it, and thus they are high-level and easier to understand and maintain. Yet, without being given an actual algorithm, LP systems implement the logical specifications automatically. Several books cover the basics of LP but focus mostly on the Prolog language with its incomplete control strategy and non-logical features. At the same time, there is generally a lack of accessible yet comprehensive collections of articles covering the key aspects in declarative LP. These aspects include, among others, well-founded vs. stable model semantics for negation, constraints, object-oriented LP, updates, probabilistic LP, and evaluation methods, including top-down vs. bottom-up, and tabling. For systems, the situation is even less satisfactory, lacking accessible literature that can help train the new crop of developers, practitioners, and researchers. There are a few guides onWarren’s Abstract Machine (WAM), which underlies most implementations of Prolog, but very little exists on what is needed for constructing a state-of-the-art declarative LP inference engine. Contrast this with the literature on, say, Compilers, where one can first study a book on the general principles and algorithms and then dive in the particulars of a specific compiler. Such resources greatly facilitate the ability to start making meaningful contributions quickly. There is also a dearth of articles about systems that support truly declarative languages, especially those that tie into first-order logic, mathematical programming, and constraint solving. LP helps solve challenging problems in a wide range of application areas, but in-depth analysis of their connection with LP language abstractions and LP implementation methods is lacking. Also, rare are surveys of challenging application areas of LP, such as Bioinformatics, Natural Language Processing, Verification, and Planning. The goal of this book is to help fill in the previously mentioned void in the LP literature. It offers a number of overviews on key aspects of LP that are suitable for researchers and practitioners as well as graduate students. The following chapters in theory, systems, and applications of LP are included.
Book Synopsis Introduction to Natural Language Processing by : Jacob Eisenstein
Download or read book Introduction to Natural Language Processing written by Jacob Eisenstein and published by MIT Press. This book was released on 2019-10-01 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.
Book Synopsis An Introduction to Natural Language Processing Through Prolog by : Clive Matthews
Download or read book An Introduction to Natural Language Processing Through Prolog written by Clive Matthews and published by Routledge. This book was released on 2016-07-01 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research into Natural Language Processing - the use of computers to process language - has developed over the last couple of decades into one of the most vigorous and interesting areas of current work on language and communication. This book introduces the subject through the discussion and development of various computer programs which illustrate some of the basic concepts and techniques in the field. The programming language used is Prolog, which is especially well-suited for Natural Language Processing and those with little or no background in computing. Following the general introduction, the first section of the book presents Prolog, and the following chapters illustrate how various Natural Language Processing programs may be written using this programming language. Since it is assumed that the reader has no previous experience in programming, great care is taken to provide a simple yet comprehensive introduction to Prolog. Due to the 'user friendly' nature of Prolog, simple yet effective programs may be written from an early stage. The reader is gradually introduced to various techniques for syntactic processing, ranging from Finite State Network recognisors to Chart parsers. An integral element of the book is the comprehensive set of exercises included in each chapter as a means of cementing the reader's understanding of each topic. Suggested answers are also provided. An Introduction to Natural Language Processing Through Prolog is an excellent introduction to the subject for students of linguistics and computer science, and will be especially useful for those with no background in the subject.
Author :Rafael C. Carrasco Publisher :Springer Science & Business Media ISBN 13 :9783540584735 Total Pages :308 pages Book Rating :4.5/5 (847 download)
Book Synopsis Grammatical Inference and Applications by : Rafael C. Carrasco
Download or read book Grammatical Inference and Applications written by Rafael C. Carrasco and published by Springer Science & Business Media. This book was released on 1994-09-07 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the Second International Colloquium on Grammatical Inference (ICGI-94), held in Alicante, Spain in September 1994. Besides 25 research papers carefully selected and refereed by the program committee, the book contains a survey by E. Vidal. The book is devoted to all those aspects of automatic learning that explicitly focus on principles, theory, and applications of grammars and languages. The papers are organized in sections on formal aspects; language modelling and linguistic applications; stochastic approaches, applications and performance analysis; and neural networks, genetic algorithms, and artificial intelligence techniques.
Book Synopsis Logic Programming by : Andrei Voronkov
Download or read book Logic Programming written by Andrei Voronkov and published by Springer. This book was released on 1992 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume contains the proceedings of two Russian conferences on logic programming, held in 1990 in Irkutsk and in 1991 in St. Petersburg. The aim of the conferences was to bring together researchers from the Russian and the international logic programming communities. Topics covered in the volume include: logic programming, automated theorem proving, non-monotonic reasoning, applications of mathematical logic to computer science, deductivedatabases, implementation of declarative concepts, and programming in non-classical logics. This is the first volume to represent activity in the field of logic programming in the countries of the former Soviet Union."--PUBLISHER'S WEBSITE.
Book Synopsis Scientific Information Bulletin by :
Download or read book Scientific Information Bulletin written by and published by . This book was released on 1993 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computer Education in India by : Utpal Kumar Banerjee
Download or read book Computer Education in India written by Utpal Kumar Banerjee and published by Concept Publishing Company. This book was released on 1996 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contributed articles.
Book Synopsis Prolog and Natural-language Analysis by : Fernando C. N. Pereira
Download or read book Prolog and Natural-language Analysis written by Fernando C. N. Pereira and published by Microtome Publishing. This book was released on 2002 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intelligent Exploration of the Web by : Piotr S. Szczepaniak
Download or read book Intelligent Exploration of the Web written by Piotr S. Szczepaniak and published by Physica. This book was released on 2012-11-08 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Web is the nervous system of information society. As such, it has a pervasive influence on our daily lives. And yet, in some ways the Web does not have a high MIQ (Machine IQ). What can be done to enhance it? This is the leitmotif of "Intelligent Exploration of the Web," (lEW)--a collection of articles co-edited by Drs. Szczepaniak, Segovia, Kacprzyk and, to a small degree, myself. The articles that comprise lEW address many basic problems ranging from structure analysis of Internet documents and Web dialogue management to intelligent Web agents for extraction of information, and bootstrapping an ontology-based information extraction system. Among the basic problems, one that stands out in importance is the problem of search. Existing search engines have many remarkable capabilities. But what is not among them is the deduction capability--the capability to answer a query by drawing on information which resides in various parts of the knowledge base. An example of a query might be "How many Ph.D. degrees in computer science were granted by European universities in 1996?" No existing search engine is capable of dealing with queries of comparable or even much lower complexity. Basically, what we would like to do is to add deduction capability to a search engine, with the aim of transforming it into a question-answering system, or a QI A system, for short. This is a problem that is of major importance and a challenge that is hard to meet.
