The Process of Question Answering
The Process of Question Answering

Author: Wendy G. Lehnert

Publisher: Taylor & Francis

Published: 2022-11-01

Total Pages: 293

ISBN-13: 1000649113

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Originally published in 1978, The Process of Question Answering examines a phenomenon that relies on many realms of human cognition: language comprehension, memory retrieval, and language generation. Problems in computational question answering assume a new perspective when question answering is viewed as a problem in natural language processing. A theory of human question answering must necessarily entail a theory of human memory organization and theories of the cognitive processes that access and manipulate information in memory. This book describes question answering as a particular task in information processing. The theoretical models described here have been built on a formulation of general theories in natural language processing: theories about language that were developed without the specific problem of question answering in mind. By requiring programmers to be concerned with the precise form of information in memory, and the precise operations manipulating that information, they can uncover significant problems that would otherwise be overlooked. An early insight into artificial intelligence, today this reissue can be enjoyed in its historical context.

The Process of Question Answering
The Process of Question Answering

Author: Wendy G Lehnert

Publisher: Routledge

Published: 2024-11

Total Pages: 0

ISBN-13: 9781032328072

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First published in 1978, this title examines a phenomenon that relies on many realms of human cognition: language comprehension, memory retrieval, and language generation. Problems in computational question answering assume a new perspective when question answering is viewed as a problem in natural language processing.

The Process of Question Answering
The Process of Question Answering

Author: Wendy G. Lehnert

Publisher:

Published: 1977

Total Pages: 0

ISBN-13: 9780898594171

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Problems in computational question answering assume a new perspective when question answering is viewed as a problem in natural language processing. A theory of question answering has been proposed which relies on ideas in conceptual information processing and theories of human memory organization. This theory of question answering has been implemented in a computer program, QUALM, currently being used by two story understanding systems to complete a natural language processing system which reads stories and answers questions about what was read. The processes in QUALM are divided into 4 phases: (1) Conceptual categorization which guides subsequent processing by dictating which specific inference mechanisms and memory retrieval strategies should be invoked in the course of answering a question; (2) Inferential analysis which is responsible for understanding what the questioner really meant when a question should not be taken literally; (3) Content specification which determines how much of an answer should be returned in terms of detail and elaborations, and (4) Retrieval heuristics which do the actual digging to extract an answer from memory.

The Oxford Handbook of Computational Linguistics
The Oxford Handbook of Computational Linguistics

Author: Ruslan Mitkov

Publisher: Oxford University Press

Published: 2004

Total Pages: 808

ISBN-13: 019927634X

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This handbook of computational linguistics, written for academics, graduate students and researchers, provides a state-of-the-art reference to one of the most active and productive fields in linguistics.

The Process of Question Answering
The Process of Question Answering

Author: Wendy G. Lehnert

Publisher: Taylor & Francis

Published: 2022-11-01

Total Pages: 289

ISBN-13: 1000649172

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Originally published in 1978, The Process of Question Answering examines a phenomenon that relies on many realms of human cognition: language comprehension, memory retrieval, and language generation. Problems in computational question answering assume a new perspective when question answering is viewed as a problem in natural language processing. A theory of human question answering must necessarily entail a theory of human memory organization and theories of the cognitive processes that access and manipulate information in memory. This book describes question answering as a particular task in information processing. The theoretical models described here have been built on a formulation of general theories in natural language processing: theories about language that were developed without the specific problem of question answering in mind. By requiring programmers to be concerned with the precise form of information in memory, and the precise operations manipulating that information, they can uncover significant problems that would otherwise be overlooked. An early insight into artificial intelligence, today this reissue can be enjoyed in its historical context.

Open-Domain Question Answering
Open-Domain Question Answering

Author: John Prager

Publisher: Now Pub

Published: 2007

Total Pages: 152

ISBN-13: 9781601980526

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Open-Domain Question Answering is an introduction to the field of Question Answering (QA). It covers the basic principles of QA along with a selection of systems that have exhibited interesting and significant techniques, so it serves more as a tutorial than as an exhaustive survey of the field. Starting with a brief history of the field, it goes on to describe the architecture of a QA system before analysing in detail some of the specific approaches that have been successfully deployed by academia and industry designing and building such systems. Open-Domain Question Answering is both a guide for beginners who are embarking on research in this area, and a useful reference for established researchers and practitioners in this field.

Dependency Parsing
Dependency Parsing

Author: Sandra Kübler

Publisher: Morgan & Claypool Publishers

Published: 2009

Total Pages: 128

ISBN-13: 1598295969

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Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today. After an introduction to dependency grammar and dependency parsing, followed by a formal characterization of the dependency parsing problem, the book surveys the three major classes of parsing models that are in current use: transition-based, graph-based, and grammar-based models. It continues with a chapter on evaluation and one on the comparison of different methods, and it closes with a few words on current trends and future prospects of dependency parsing. The book presupposes a knowledge of basic concepts in linguistics and computer science, as well as some knowledge of parsing methods for constituency-based representations. Table of Contents: Introduction / Dependency Parsing / Transition-Based Parsing / Graph-Based Parsing / Grammar-Based Parsing / Evaluation / Comparison / Final Thoughts

Advances in Open Domain Question Answering
Advances in Open Domain Question Answering

Author: Tomek Strzalkowski

Publisher: Springer Science & Business Media

Published: 2006-10-07

Total Pages: 579

ISBN-13: 1402047460

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This new Springer volume provides a comprehensive and detailed look at current approaches to automated question answering. The level of presentation is suitable for newcomers to the field as well as for professionals wishing to study this area and/or to build practical QA systems. The book can serve as a "how-to" handbook for IT practitioners and system developers. It can also be used to teach graduate courses in Computer Science, Information Science and related disciplines.

Computational Linguistics and Intelligent Text Processing
Computational Linguistics and Intelligent Text Processing

Author: Alexander Gelbukh

Publisher: Springer Science & Business Media

Published: 2009-02-16

Total Pages: 619

ISBN-13: 3642003818

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This book constitutes the refereed proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009, held in Mexico City, Mexico in March 2009. The 44 revised full papers presented together with 4 invited papers were carefully reviewed and selected from numerous submissions. The papers cover all current issues in computational linguistics research and present intelligent text processing applications.

Ontologies and Adaptivity in Dialogue for Question Answering
Ontologies and Adaptivity in Dialogue for Question Answering

Author: D. Sonntag

Publisher: IOS Press

Published: 2010-01-05

Total Pages: 422

ISBN-13: 1614993386

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Question answering (QA) has become one of the fastest growing topics in computational linguistics and information access. To advance research in the area of dialogue-based question answering, we propose a combination of methods from different scientific fields (i.e., Information Retrieval, Dialogue Systems, Semantic Web, and Machine Learning). This book sheds light on adaptable dialogue-based question answering. We demonstrate the technical and computational feasibility of the proposed ideas, the introspective methods in particular, by beginning with an extensive introduction to the dialogical problem domain which motivates the technical implementation. The ideas have been carried out in a mature natural language processing (NLP) system, the SmartWeb dialogue system, which was developed between 2004 and 2007 by partners from academia and industry. We have attempted to make this book a self-containing text and provide an extra section on the interdisciplinary scientific background. The target audience for this book comprises of researchers and students interested in the application potential of semantic technologies for difficult AI tasks such as working dialogue and QA systems.