Tractor: A framework for soft information fusion
Michael B. Prentice, Michael Kandefer, Stewart Shapiro · 2010
This paper presents a soft information fusion framework for creating a propositional graph from natural language messages with an emphasis on producing these graphs for fusion with other messages. The framework utilizes artificial intelligence techniques from natural language understanding, knowledge representation, and information retrieval.