Shaw-Yi, Chaw, Ken Barker, Bruce Porter, Dan Tecuci, Peter Z. Yeh
We describe a problem solver built to answer questions like those on Advanced Placement exams using knowledge bases authored by domain experts. The problem solver is designed to work independently of any particular knowledge base or domain. Given a question, the problem solver identifies those portions of the knowledge base that are relevant to the question. We found that simple heuristics for judging relevance significantly improved performance, with no drop in coverage.
@inproceedings{chaw-ictai09, author = {Shaw Yi Chaw and Ken Barker and Bruce W. Porter and Dan Tecuci and Peter Z. Yeh}, title = {A Scalable Problem-Solver for Large Knowledge-Bases}, booktitle = {Proceedings to The 21st IEEE International Conference on Tools with Artificial Intelligence (ICTAI)}, year = {2009}, pages = {461-468}, }