Paper Info
Title
EA NLU: Practical Language Understanding for Cognitive Modeling
Abstract
This paper presents an approach to creating flexible general-logic representations from language for use in high-level reasoning tasks in cognitive modeling. These representations are grounded in a large-scale ontology and emphasize the need for semantic breadth at the cost of syntactic breadth. The task-independent interpretation process allows task-specific pragmatics to guide the interpretation process. In the context of a particular cognitive model, we discuss our use of limited abduction for interpretation and show results of its performance.
Year
Venue
Keywords
2009
FLAIRS Conference
cognitive model
Field
DocType
Citations 
Ontology,Pragmatics,Computer science,Semantic interpretation,Natural language understanding,Natural language processing,Artificial intelligence,Cognitive model,Cognition,Syntax,Language understanding
Conference
9
PageRank 
References 
Authors
0.70
10
2
Name
Order
Citations
PageRank
Emmett Tomai19212.95
Kenneth D. Forbus23131862.14