Natural Language Question Answering Systems
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Natural Language Question Answering Systems
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Author : Leonard Bolc
language : en
Publisher:
Release Date : 1980-01-01
Natural Language Question Answering Systems written by Leonard Bolc and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980-01-01 with Computational linguistics categories.
R2 A Natural Language Question Answering System
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Author : Kenneth O. Biss
language : en
Publisher:
Release Date : 1971
R2 A Natural Language Question Answering System written by Kenneth O. Biss and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Artificial intelligence categories.
An intelligent natural language question-answering system called the R2 system is described which exhibits a number of advanced features not found in other question-answering systems. This system is based upon a new high-order logical calculus that permits the representation of a wide range of natural language information. A number of examples are given showing how natural language information is represented in this high-order language. An example illustrating the question-answering ability of the system is also given in which a question is transformed into the high-order representation and the deductive steps necessary for generating the answer are performed. (Author).
Hands On Question Answering Systems With Bert
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Author : Navin Sabharwal
language : en
Publisher: Apress
Release Date : 2021-02-06
Hands On Question Answering Systems With Bert written by Navin Sabharwal and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-06 with Computers categories.
Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning. The book begins with an overview of the technology landscape behind BERT. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, you’ll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, you’ll cover word embedding and their types along with the basics of BERT. After this solid foundation, you’ll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. You’ll see different BERT variations followed by a hands-on example of a question answering system. Hands-on Question Answering Systems with BERT is a good starting point for developers and data scientists who want to develop and design NLP systems using BERT. It provides step-by-step guidance for using BERT. What You Will Learn Examine the fundamentals of word embeddings Apply neural networks and BERT for various NLP tasks Develop a question-answering system from scratch Train question-answering systems for your own data Who This Book Is For AI and machine learning developers and natural language processing developers.
About The Role Of Control Information In Natural Language Question Answering Systems
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Author : Michael Hess
language : en
Publisher:
Release Date : 1985
About The Role Of Control Information In Natural Language Question Answering Systems written by Michael Hess and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with categories.
Natural Language Question Answering Systems
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Author : Robert F. Simmons
language : en
Publisher:
Release Date : 1969
Natural Language Question Answering Systems written by Robert F. Simmons and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Question-answering systems categories.
New Directions In Question Answering
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Author : Mark T. Maybury
language : en
Publisher:
Release Date : 2004
New Directions In Question Answering written by Mark T. Maybury and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
Major trends in the development of an important new method of information access that combines elements of natural language processing, information retrieval, and human computer interaction. Question answering systems, which provide natural language responses to natural language queries, are the subject of rapidly advancing research encompassing both academic study and commercial applications, the most well-known of which is the search engine Ask Jeeves. Question answering draws on different fields and technologies, including natural language processing, information retrieval, explanation generation, and human computer interaction. Question answering creates an important new method of information access and can be seen as the natural step beyond such standard Web search methods as keyword query and document retrieval. This collection charts significant new directions in the field, including temporal, spatial, definitional, biographical, multimedia, and multilingual question answering. After an introduction that defines essential terminology and provides a roadmap to future trends, the book covers key areas of research and development. These include current methods, architecture requirements, and the history of question answering on the Web; the development of systems to address new types of questions; interactivity, which is often required for clarification of questions or answers; reuse of answers; advanced methods; and knowledge representation and reasoning used to support question answering. Each section contains an introduction that summarizes the chapters included and places them in context, relating them to the other chapters in the book as well as to the existing literature in the field and assessing the problems and challenges that remain.
Natural Language Question Answering System
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Author : Boris Galitsky
language : en
Publisher:
Release Date : 2003
Natural Language Question Answering System written by Boris Galitsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computational linguistics categories.
Computer Analysis Of Induced Vestibular Nystagmus Rotatory Stimulation Of Normal Cats
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Author :
language : en
Publisher:
Release Date :
Computer Analysis Of Induced Vestibular Nystagmus Rotatory Stimulation Of Normal Cats written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Deep Learning In Natural Language Processing
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Author : Li Deng
language : en
Publisher: Springer
Release Date : 2018-05-23
Deep Learning In Natural Language Processing written by Li Deng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-23 with Computers categories.
In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.
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.