Our goal is for robots to learn conceptual systems su cient for natural language and planning. The learning should be autonomous, without supervision. The rst steps in building a ...
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
A method for automatic plot analysis of narrative texts that uses components of both traditional symbolic analysis of natural language and statistical machine-learning is presente...
The Meta-Modeling Language is a static object-oriented modeling language whose focus is the declarative definition of languages. It aims to enable the UML metamodel to be precisely...
In this paper we present a logical treatment of semifree word order and bounded discontinuous constituency. We extend standard feature value logics to treat word order in a single...