Multi-dimensional feature merger for question answering
Apoorv Agarwal, J. William Murdock, et al.
COLING 2012
We present WatsonPaths, a novel system that can answer scenario-based questions. These include medical questions that present a patient summary and ask for the most likely diagnosis or most appropriate treatment. Watson-Paths builds on the IBM Watson question-answering system. WatsonPaths breaks down the input scenario into individual pieces of information, asks relevant subquestions of Watson to conclude new information, and represents these results in a graphic model. Probabilistic inference is performed over the graph to conclude the answer. On a set of medical test preparation questions, WatsonPaths shows a significant improvement in accuracy over multiple baselines.
Apoorv Agarwal, J. William Murdock, et al.
COLING 2012
Sugato Bagchi, Gautam Biswas, et al.
IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.
Sugato Bagchi, Gautam Biswas, et al.
Robotics and Autonomous Systems
Branimir Boguraev, Siddharth Patwardhan, et al.
Natural Language Engineering