Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2011)
Aug. 22, 2011 to Aug. 27, 2011
Computational approaches to language acquisition typically reduce the problem to one of either learning syntax, or learning a lexicon -- isolated tasks. These problem simplifications have led to disconnected solutions and algorithms with no expectation of grounded inputs. We propose a language learning framework for bootstrapping the acquisition of a grammar and learning lexical semantics. We describe the framework and provide an instantiation using context-free grammars and a lambda-calculus semantic representation.
lexical learning, natural language learning, bootstrap learning
Tom Armstrong, Tim Oates, "An Architecture for Bootstrapping Lexical Semantics and Grammatical Structures", Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, vol. 03, no. , pp. 155-158, 2011, doi:10.1109/WI-IAT.2011.188