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Accession Number:
AD1098173
Title:
STYLUS: A Resource for Systematically Derived Language Usage
Descriptive Note:
Conference Paper
Corporate Author:
Institute for Human and Machine Cognition Ocala United States
Report Date:
2018-08-20
Pagination or Media Count:
8.0
Abstract:
Starting from an existing lexical-conceptual structure LCS Verb Database of 500 verb classes containing a total of 9525 verb entries, we automatically derived a resource that supports argument identification for language understanding and argument realization for language generation. The extended resource, called STYLUS SysTematicallY Derived Language USage, supports constraints at the syntax-semantics interface through the inclusion of components of meaning and collocations. We show that the resulting resource covers three cases of language usage patterns both for spatially oriented applications such as dialogue management for robot navigation and for non-spatial applications such as generation of cyber-related notifications.
Distribution Statement:
APPROVED FOR PUBLIC RELEASE