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Author: Wendy G Lehnert
Publisher: Routledge
Published: 2024-11
Total Pages: 0
ISBN-13: 9781032328072
DOWNLOAD EBOOK →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.
Author: Wendy G. Lehnert
Publisher: Taylor & Francis
Published: 2022-11-01
Total Pages: 293
ISBN-13: 1000649113
DOWNLOAD EBOOK →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.
Author: Wendy G. Lehnert
Publisher:
Published: 1977
Total Pages: 0
ISBN-13: 9780898594171
DOWNLOAD EBOOK →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.
Author: Ruslan Mitkov
Publisher: Oxford University Press
Published: 2004
Total Pages: 808
ISBN-13: 019927634X
DOWNLOAD EBOOK →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.
Author: Wendy G. Lehnert
Publisher: Taylor & Francis
Published: 2022-11-01
Total Pages: 289
ISBN-13: 1000649172
DOWNLOAD EBOOK →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.
Author: John Prager
Publisher: Now Pub
Published: 2007
Total Pages: 152
ISBN-13: 9781601980526
DOWNLOAD EBOOK →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.
Author: Sandra Kubler
Publisher: Morgan & Claypool Publishers
Published: 2009-01-08
Total Pages: 127
ISBN-13: 1598295977
DOWNLOAD EBOOK →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
Author: Nancy Ide
Publisher: Springer
Published: 2017-06-16
Total Pages: 1440
ISBN-13: 9402408819
DOWNLOAD EBOOK →This handbook offers a thorough treatment of the science of linguistic annotation. Leaders in the field guide the reader through the process of modeling, creating an annotation language, building a corpus and evaluating it for correctness. Essential reading for both computer scientists and linguistic researchers.Linguistic annotation is an increasingly important activity in the field of computational linguistics because of its critical role in the development of language models for natural language processing applications. Part one of this book covers all phases of the linguistic annotation process, from annotation scheme design and choice of representation format through both the manual and automatic annotation process, evaluation, and iterative improvement of annotation accuracy. The second part of the book includes case studies of annotation projects across the spectrum of linguistic annotation types, including morpho-syntactic tagging, syntactic analyses, a range of semantic analyses (semantic roles, named entities, sentiment and opinion), time and event and spatial analyses, and discourse level analyses including discourse structure, co-reference, etc. Each case study addresses the various phases and processes discussed in the chapters of part one.
Author: Tomek Strzalkowski
Publisher: Springer Science & Business Media
Published: 2006-10-07
Total Pages: 579
ISBN-13: 1402047460
DOWNLOAD EBOOK →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.
Author: Alexander Gelbukh
Publisher: Springer Science & Business Media
Published: 2009-02-16
Total Pages: 619
ISBN-13: 3642003818
DOWNLOAD EBOOK →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.
