Moving QA towards reading comprehension using context and default reasoning
Christine Clark, Daniel Hodges, Jens Stephan, DAN I. MOLDOVAN · 2005
For a question answering system to understand the underly-ing assumptions and contextual features of natural language, a contextually and semantically sensitive knowledge repre-sentation and reasoning module is essential. This paper pro-poses a three-layered knowledge representation coupled with reasoning mechanisms for defaults and contexts as a solution for pushing question answering towards a state capable of ba-sic reading comprehension. A travel scenario is presented as a vehicle for demonstrating the complexities of this problem, and the ways in which semantic relations, contexts (for con-ditionality, planning, time, and space), and defaults address these complexities.