Advances in Generative Lexicon Theory Advances in Generative Lexicon Theory

Advances in Generative Lexicon Theory

James Pustejovsky and Others
    • $129.99
    • $129.99

Publisher Description

This collection of papers takes linguists to the leading edge of techniques in generative lexicon theory, the linguistic composition methodology that arose from the imperative to provide a compositional semantics for the contextual modifications in meaning that emerge in real linguistic usage. Today’s growing shift towards distributed compositional analyses evinces the applicability of GL theory, and the contributions to this volume, presented at three international workshops (GL-2003, GL-2005 and GL-2007) address the relationship between compositionality in language and the mechanisms of selection in grammar that are necessary to maintain this property. The core unresolved issues in compositionality, relating to the interpretation of context and the mechanisms of selection, are treated from varying perspectives within GL theory, including its basic theoretical mechanisms and its analytical viewpoint on linguistic phenomena.

GENRE
Computers & Internet
RELEASED
2012
December 18
LANGUAGE
EN
English
LENGTH
496
Pages
PUBLISHER
Springer Netherlands
SELLER
Springer Nature B.V.
SIZE
5.9
MB
New Frontiers in Artificial Intelligence New Frontiers in Artificial Intelligence
2015
New Frontiers in Artificial Intelligence New Frontiers in Artificial Intelligence
2020
Logic, Language, and Computation Logic, Language, and Computation
2009
Ludics, Dialogue and Interaction Ludics, Dialogue and Interaction
2011
Monotonicity in Logic and Language Monotonicity in Logic and Language
2020
Logic, Language, and Computation Logic, Language, and Computation
2015
Spatial Language Understanding Spatial Language Understanding
2025
Annotation-Based Semantics for Space and Time in Language Annotation-Based Semantics for Space and Time in Language
2023
Handbook of Linguistic Annotation Handbook of Linguistic Annotation
2017
Natural Language Annotation for Machine Learning Natural Language Annotation for Machine Learning
2012
Annotating, Extracting and Reasoning about Time and Events Annotating, Extracting and Reasoning about Time and Events
2007