Integration Of World Knowledge For Natural Language Understanding

Author : Ekaterina Ovchinnikova
Publisher : Springer Science & Business Media
Page : 242 pages
File Size : 46,5 Mb
Release : 2012-02-15
Category : Computers
ISBN : 9789491216534

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Integration of World Knowledge for Natural Language Understanding by Ekaterina Ovchinnikova Pdf

This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications. First, an introduction to research areas relevant for NLU is given. We review approaches to linguistic meaning, explore knowledge resources, describe semantic parsers, and compare two main forms of inference: deduction and abduction. In the main part of the book, we propose an integrative knowledge base combining lexical-semantic, ontological, and distributional knowledge. A particular attention is payed to ensuring its consistency. We then design a reasoning procedure able to make use of the large scale knowledge base. We experiment both with a deduction-based NLU system and with an abductive reasoner. For evaluation, we use three different NLU tasks: recognizing textual entailment, semantic role labeling, and interpretation of noun dependencies.

Author : Meng Jiang
Publisher : Springer Nature
Page : 101 pages
File Size : 43,7 Mb
Release : 2024-07-02
Category : Electronic
ISBN : 9789819707478

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Knowledge-augmented Methods for Natural Language Processing by Meng Jiang Pdf

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 108 pages
File Size : 45,9 Mb
Release : 2023-07-05
Category : Computers
ISBN : PKEY:6610000475513

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Natural Language Understanding by Fouad Sabry Pdf

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.

Author : Łucja M. Iwańska,Stuart C. Shapiro
Publisher : AAAI Press
Page : 490 pages
File Size : 55,5 Mb
Release : 2000-06-19
Category : Computers
ISBN : UOM:39015047725570

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Natural Language Processing and Knowledge Representation by Łucja M. Iwańska,Stuart C. Shapiro Pdf

"Traditionally, knowledge representation and reasoning systems have incorporated natural language as interfaces to expert systems or knowledge bases that performed tasks separate from natural language processing. As this book shows, however, the computational nature of representation and inference in natural language makes it the ideal model for all tasks in an intelligent computer system. Natural language processing combines the qualitative characteristics of human knowledge processing with a computer's quantitative advantages, allowing for in-depth, systematic processing of vast amounts of information.

Author : Neamat El Gayar,Ching Yee Suen
Publisher : World Scientific
Page : 288 pages
File Size : 54,6 Mb
Release : 2018-09-18
Category : Computers
ISBN : 9789813229402

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Computational Linguistics, Speech And Image Processing For Arabic Language by Neamat El Gayar,Ching Yee Suen Pdf

This book encompasses a collection of topics covering recent advances that are important to the Arabic language in areas of natural language processing, speech and image analysis. This book presents state-of-the-art reviews and fundamentals as well as applications and recent innovations.The book chapters by top researchers present basic concepts and challenges for the Arabic language in linguistic processing, handwritten recognition, document analysis, text classification and speech processing. In addition, it reports on selected applications in sentiment analysis, annotation, text summarization, speech and font analysis, word recognition and spotting and question answering.Moreover, it highlights and introduces some novel applications in vital areas for the Arabic language. The book is therefore a useful resource for young researchers who are interested in the Arabic language and are still developing their fundamentals and skills in this area. It is also interesting for scientists who wish to keep track of the most recent research directions and advances in this area.

Author : Ela Kumar
Publisher : I. K. International Pvt Ltd
Page : 220 pages
File Size : 40,6 Mb
Release : 2013-12-30
Category : Computers
ISBN : 9789380578774

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Natural Language Processing by Ela Kumar Pdf

Covers all aspects of the area of linguistic analysis and the computational systems that have been developed to perform the language analysis. The book is primarily meant for post graduate and undergraduate technical courses.

Author : Steven S. Gouveia
Publisher : Vernon Press
Page : 402 pages
File Size : 42,6 Mb
Release : 2020-07-07
Category : Computers
ISBN : 9781622739578

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The Age of Artificial Intelligence: An Exploration by Steven S. Gouveia Pdf

With worldwide spending estimates of over $97 billion by 2023, it is no surprise that Artificial Intelligence (A.I.) is one of the hottest topics at present in both the private and public spheres. Comprising of vital contributions from the most influential researchers in the field, including Daniel Dennett, Roman V. Yampolskiy, Frederic Gilbert, Stevan Harnad, David Pearce, Natasha Vita-More, Vernon Vinge and Ben Goertzel, ‘The Age of Artificial Intelligence: An Exploration’ discusses a variety of topics ranging from the various ethical issues associated with A.I. based technologies in terms of morality and law to subjects related to artificial consciousness, artistic creativity and intelligence. The volume is organized as follows: Section I is dedicated to reflections on the Intelligence of A.I., with chapters by Soenke Ziesche and Roman V. Yampolskiy, Stevan Harnad, Daniel Dennett and David Pearce. Next, Section II discusses the relationship between consciousness, simulation and artificial intelligence, with chapters by Gabriel Axel Montes and Ben Goertzel, Cody Turner, Nicole Hall and Steven S. Gouveia. Section III, dedicated to aesthetical creativity and language in artificial intelligence, includes chapters by Caterina Moruzzi, René Mogensen, Mariana Chinellato Ferreira and Kulvinder Panesar. The subsequent Section IV is on the Ethics of the Bionic Brain with the participation of Peter A. DePergola II, Tomislav Miletić and Frederic Gilbert, Aníbal M. Astobiza, Txetxu Ausin, Ricardo M. Ferrer and Stephen Rainey and Natasha Vita-More. Finally, Section V follows on the Ethics of Artificial Intelligence with chapters by Federico Pistono and Roman V. Yamploskiy, Hasse Hämäläinen, Vernon Vinge and Eray Özkural. The Age of Artificial Intelligence is imminent, if not here already. We should ensure that we invest in the right people and the right ideas to create the best possible solutions to the problems of the present and prepare for those of the future. This edited volume will be of particular interest to researchers in the field of A.I. as well of those in Cognitive Science (Philosophy of the Mind, Neuroscience, and Linguistics), Aesthetics and Arts, Applied Ethics and Political Philosophy / Law. Students studying the aforementioned topics can also benefit from its contents.

Author : Dimitris N. Christodoulakis
Publisher : Springer
Page : 444 pages
File Size : 48,5 Mb
Release : 2003-06-26
Category : Computers
ISBN : 9783540451549

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Natural Language Processing - NLP 2000 by Dimitris N. Christodoulakis Pdf

This volume contains the papers prepared for the 2nd International Conference on Natural Language Processing, held 2-4 June in Patras, Greece. The conference program features invited talks and submitted papers, c- ering a wide range of NLP areas: text segmentation, morphological analysis, lexical knowledge acquisition and representation, grammar formalism and s- tacticparsing,discourse analysis,languagegeneration,man-machineinteraction, machine translation, word sense disambiguation, and information extraction. The program committee received 71 abstracts, of which unfortunately no more than 50% could be accepted. Every paper was reviewed by at least two reviewers. The fairness of the reviewing process is demonstrated by the broad spread of institutions and countries represented in the accepted papers. So many have contributed to the success of the conference. The primary credit, ofcourse, goes to theauthors andto the invitedspeakers. By theirpapers and their inspired talks they established the quality of the conference. Secondly, thanks should go to the referees and to the program committee members who did a thorough and conscientious job. It was not easy to select the papers to be presented. Last, but not least, my special thanks to the organizing committee for making this conference happen.

Author : Marjorie Mcshane,Sergei Nirenburg
Publisher : MIT Press
Page : 449 pages
File Size : 45,6 Mb
Release : 2021-03-02
Category : Computers
ISBN : 9780262362603

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Linguistics for the Age of AI by Marjorie Mcshane,Sergei Nirenburg Pdf

A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.

Author : Zhiyuan Liu,Yankai Lin,Maosong Sun
Publisher : Springer Nature
Page : 319 pages
File Size : 51,8 Mb
Release : 2020-07-03
Category : Computers
ISBN : 9789811555732

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Representation Learning for Natural Language Processing by Zhiyuan Liu,Yankai Lin,Maosong Sun Pdf

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

Author : Prince, Violaine,Roche, Mathieu
Publisher : IGI Global
Page : 460 pages
File Size : 43,6 Mb
Release : 2009-03-31
Category : Computers
ISBN : 9781605662756

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Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration by Prince, Violaine,Roche, Mathieu Pdf

"This book provides relevant theoretical frameworks and the latest empirical research findings in biomedicine information retrieval as it pertains to linguistic granularity"--Provided by publisher.

Author : Asuman Dogac,M.Tamer Özsu,Alexandros Biliris,Timos Sellis
Publisher : Springer Science & Business Media
Page : 523 pages
File Size : 51,7 Mb
Release : 2013-11-09
Category : Computers
ISBN : 9783642579394

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Advances in Object-Oriented Database Systems by Asuman Dogac,M.Tamer Özsu,Alexandros Biliris,Timos Sellis Pdf

Object-oriented database management systems (OODBMSs) have generated significant excitement in the database community in the last decade. This interest stems from a real need for data management support for what are called "advanced application areas" that are not well-served by relational technology. The case for object-oriented technology has been made on three fronts. First is the data modeling requirements of the new applications. Some of the more important shortcomings of the relational systems in meeting the requirements of these applications include: 1. Relational systems deal with a single object type: a relation. A relation is used to model different real-world objects, but the semantics of this association is not part of the database. Furthermore, the attributes of a relation may come only from simple and fixed data type domains (numeric, character, and, sometimes, date types). Advanced applications require explicit storage and manipulation of more abstract types (e.g., images, design documents) and the ability for the users to define their own application-specific types. Therefore, a rich type system supporting user defined abstract types is required. 2. The relational model structures data in a relatively simple and flat manner. Non traditional applications require more complex object structures with nested objects (e.g., a vehicle object containing an engine object).

Author : Leah L. Light,Deborah M. Burke
Publisher : Cambridge University Press
Page : 298 pages
File Size : 53,6 Mb
Release : 1993-07-30
Category : Language Arts & Disciplines
ISBN : 052144876X

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Language, Memory, and Aging by Leah L. Light,Deborah M. Burke Pdf

From a cognitive standpoint, the authors consider the role of awareness in memory and language.

Author : W. G. Lehnert,M. H. Ringle
Publisher : Psychology Press
Page : 556 pages
File Size : 51,8 Mb
Release : 2014-04-04
Category : Psychology
ISBN : 9781317769255

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Strategies for Natural Language Processing by W. G. Lehnert,M. H. Ringle Pdf

First published in 1982. Simply defined, the field of natural language processing is concerned with theories and techniques that address the problem of natural language communication with computers. One of the goals of this research is to design computer programs that will allow people to interact with computers in natural conversational dialogues.

Author : Ankur A. Patel,Ajay Uppili Arasanipalai
Publisher : "O'Reilly Media, Inc."
Page : 336 pages
File Size : 55,5 Mb
Release : 2021-05-12
Category : Computers
ISBN : 9781492062547

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Applied Natural Language Processing in the Enterprise by Ankur A. Patel,Ajay Uppili Arasanipalai Pdf

NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production