Linguistics for the Age of AI

Linguistics for the Age of AI

A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on appl...

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Opis bibliograficzny
1. autor: McShane, Marjorie (auth)
Kolejni autorzy: Nirenburg, Sergei (auth)
Format: Rozdział
Wydane: Cambridge The MIT Press 2021
Hasła przedmiotowe:
Machine learning
Lexicography
Cognitive science
natural language understanding
computational semantics
computational pragmatics
computational linguistics
intelligent agents
cognitive modelling
cognitive systems
AI
artificial intelligence
language-endowed intelligent agents
natural language processing
NLP
language-endowed intelligent agent systems
linguistic and extralinguistic scope
understanding
Extracting and representing meaning
theories
systems and models
actionability
explanation
Theory and methodology
knowledge bases
incrementality
microtheories
Pre-semantic analysis
error recovery
managing complexity
Modification
proposition-level semantic enhancements
constructions
indirect speech acts
non-literal language
ellipsis
fragments
unknown words
personal pronouns
broad referring expressions
definite descriptions
anaphoric event coreference
Residual ambiguities
incongruities
underspecification
incorporating
OntoAgent cognitive architecture
fractured syntax
treating underspecified elements
Integrated NLU applications
Maryland Virtual Patient
cognitive robotics
Model and system evaluation
component-level evaluation
holistic evaluation
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