The paper presents the computational model underlying new agent communication languages. The model, called STROBE, has been identified and two prototypical languages inspired by th...
This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
Natural Language Generation for personality rich characters represents one of the important directions for believable agents research. The typical approach to interactive NLG is t...
Christina R. Strong, Manish Mehta, Kinshuk Mishra,...
A central problem in text-understanding research is the indeterminacy of natural language. Two related issues that arise in confronting this problem are the need to make complex i...
Rebecca J. Passonneau, Carl Weir, Timothy W. Finin...
Building agents for a scenario such as the RoboCup simulation league requires not only methodologies for implementing high-level complex behavior, but also the careful and efficien...