Question answering (QA) is the study on the methodology that returns exact answers to natural language questions. This paper attempts to increase the coverage and accuracy of QA sy...
Abstract. In this paper, we present a logic-based model for an accurate generation of intensional responses within a cooperative questionanswering framework. We develop several cat...
The main aim of this project is to explore, develop and evaluate the contribution of language technologies to the development of WEBCOOP, a system that provides intelligent Cooper...
The area of learning in multi-agent systems is today one of the most fertile grounds for interaction between game theory and artificial intelligence. We focus on the foundational...
Abstract In this paper, we describe our Question Answering (QA) system called QUANTUM. The goal of QUANTUM is to find the answer to a natural language question in a large document ...