  Our research is focused on making a human-like question answering system
which can answer rationally. The distinguishing characteristic of our approach
is that it will use automated common sense reasoning to truly "understand"
dialogues, allowing it to converse like a human. Humans often make many
assumptions during conversations. We infer facts not told explicitly by using
our common sense. Incorporating commonsense knowledge in a question answering
system will simply make it more robust.

Artificial Intelligence;Human-Computer Interaction;Logic in Computer Science