Process of Question Answering

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A01=Wendy G. Lehnert
artificial intelligence
artificial intelligence research
Author_Wendy G. Lehnert
Can
Category=CFD
Category=JMA
Category=JMR
Causal Antecedent
Causal Chain
Causal Chain Representations
cognitive modelling
cognitive simulation
computational models of human cognition
computational question answering
Conceptual Answer
Elaboration Option
Enablement Question
eq_bestseller
eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Expectational Question
Fed Back
human memory organization
Inferential Analysis
inferential reasoning
information processing
information processing theory
language comprehension
language generation
Leone's Story
Leone’s Story
Make Sense
Memory Representation
memory retrieval
memory retrieval processes
Memory Search
Memory Token
Natural Language Processing
natural language understanding
QUALM
Question Answering
question answering simulations
Question Concept
question-answering systems
Restaurant Script
Retrieval Heuristics
Script Application
Script Structures
Story Representation
Verification Questions
Violates

Product details

  • ISBN 9781032327969
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 01 Nov 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

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