A Knowledge-based Natural Language Data Interface
Author:
Publisher:
Published: 1991
Total Pages:
ISBN-13:
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Distributed Computing and Artificial Intelligence, 12th International Conference
Author: Sigeru Omatu
Publisher: Springer
Published: 2015-05-28
Total Pages: 418
ISBN-13: 3319196383
DOWNLOAD EBOOKThe 12th International Symposium on Distributed Computing and Artificial Intelligence 2015 (DCAI 2015) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the Osaka Institute of Technology, Qatar University and the University of Salamanca.
Natural Language Data Management and Interfaces
Author: Yunyao Li
Publisher: Morgan & Claypool Publishers
Published: 2018-08-13
Total Pages: 158
ISBN-13: 1681734095
DOWNLOAD EBOOKThe volume of natural language text data has been rapidly increasing over the past two decades, due to factors such as the growth of the Web, the low cost associated with publishing, and the progress on the digitization of printed texts. This growth combined with the proliferation of natural language systems for search and retrieving information provides tremendous opportunities for studying some of the areas where database systems and natural language processing systems overlap. This book explores two interrelated and important areas of overlap: (1) managing natural language data and (2) developing natural language interfaces to databases. It presents relevant concepts and research questions, state-of-the-art methods, related systems, and research opportunities and challenges covering both areas. Relevant topics discussed on natural language data management include data models, data sources, queries, storage and indexing, and transforming natural language text. Under natural language interfaces, it presents the anatomy of these interfaces to databases, the challenges related to query understanding and query translation, and relevant aspects of user interactions. Each of the challenges is covered in a systematic way: first starting with a quick overview of the topics, followed by a comprehensive view of recent techniques that have been proposed to address the challenge along with illustrative examples. It also reviews some notable systems in details in terms of how they address different challenges and their contributions. Finally, it discusses open challenges and opportunities for natural language management and interfaces. The goal of this book is to provide an introduction to the methods, problems, and solutions that are used in managing natural language data and building natural language interfaces to databases. It serves as a starting point for readers who are interested in pursuing additional work on these exciting topics in both academic and industrial environments.
Natural Language User Interface
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
Published: 2023-07-05
Total Pages: 123
ISBN-13:
DOWNLOAD EBOOKWhat Is Natural Language User Interface A natural-language user interface is a sort of computer human interface in which linguistic phenomena such as verbs, phrases, and clauses operate as UI controllers for the purpose of producing, selecting, and changing data in software programs. Natural-language user interfaces are becoming increasingly popular. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Natural-language user interface Chapter 2: List of artificial intelligence projects Chapter 3: Natural-language understanding Chapter 4: Question answering Chapter 5: Document retrieval Chapter 6: Outline of natural language processing Chapter 7: Concept search Chapter 8: Natural-language programming Chapter 9: Google Hummingbird Chapter 10: Query understanding (II) Answering the public top questions about natural language user interface. (III) Real world examples for the usage of natural language user interface in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of natural language user interface' 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 user interface.
Applied Natural Language Processing
Author: Steven P. Shwartz
Publisher:
Published: 1987
Total Pages: 328
ISBN-13:
DOWNLOAD EBOOKProvides insight into the relationship between natural language processing and the use of artificial intelligence in the commercial world. Includes applications examples.
Recent Advances on Hybrid Intelligent Systems
Author: Oscar Castillo
Publisher: Springer
Published: 2012-09-14
Total Pages: 558
ISBN-13: 3642330215
DOWNLOAD EBOOKThis book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.
Natural Language Processing with Python
Author: Steven Bird
Publisher: "O'Reilly Media, Inc."
Published: 2009-06-12
Total Pages: 506
ISBN-13: 0596555717
DOWNLOAD EBOOKThis 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.
Handbook of Research on Natural Language Processing and Smart Service Systems
Author: Pazos-Rangel, Rodolfo Abraham
Publisher: IGI Global
Published: 2020-10-02
Total Pages: 554
ISBN-13: 1799847314
DOWNLOAD EBOOKNatural language processing (NLP) is a branch of artificial intelligence that has emerged as a prevalent method of practice for a sizeable amount of companies. NLP enables software to understand human language and process complex data that is generated within businesses. In a competitive market, leading organizations are showing an increased interest in implementing this technology to improve user experience and establish smarter decision-making methods. Research on the application of intelligent analytics is crucial for professionals and companies who wish to gain an edge on the opposition. The Handbook of Research on Natural Language Processing and Smart Service Systems is a collection of innovative research on the integration and development of intelligent software tools and their various applications within professional environments. While highlighting topics including discourse analysis, information retrieval, and advanced dialog systems, this book is ideally designed for developers, practitioners, researchers, managers, engineers, academicians, business professionals, scholars, policymakers, and students seeking current research on the improvement of competitive practices through the use of NLP and smart service systems.
Natural Language Processing and Knowledge Representation
Author: Łucja M. Iwańska
Publisher: AAAI Press
Published: 2000-06-19
Total Pages: 490
ISBN-13:
DOWNLOAD EBOOK"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.
Natural Language Data Management and Interfaces
Author: Yunyao Li
Publisher: Springer Nature
Published: 2022-06-01
Total Pages: 136
ISBN-13: 3031018621
DOWNLOAD EBOOKThe volume of natural language text data has been rapidly increasing over the past two decades, due to factors such as the growth of the Web, the low cost associated with publishing, and the progress on the digitization of printed texts. This growth combined with the proliferation of natural language systems for search and retrieving information provides tremendous opportunities for studying some of the areas where database systems and natural language processing systems overlap. This book explores two interrelated and important areas of overlap: (1) managing natural language data and (2) developing natural language interfaces to databases. It presents relevant concepts and research questions, state-of-the-art methods, related systems, and research opportunities and challenges covering both areas. Relevant topics discussed on natural language data management include data models, data sources, queries, storage and indexing, and transforming natural language text. Under natural language interfaces, it presents the anatomy of these interfaces to databases, the challenges related to query understanding and query translation, and relevant aspects of user interactions. Each of the challenges is covered in a systematic way: first starting with a quick overview of the topics, followed by a comprehensive view of recent techniques that have been proposed to address the challenge along with illustrative examples. It also reviews some notable systems in details in terms of how they address different challenges and their contributions. Finally, it discusses open challenges and opportunities for natural language management and interfaces. The goal of this book is to provide an introduction to the methods, problems, and solutions that are used in managing natural language data and building natural language interfaces to databases. It serves as a starting point for readers who are interested in pursuing additional work on these exciting topics in both academic and industrial environments.
