At Clippers on Tuesday, Adam Stiff will present on domain adaptation for question answering systems.
Abstract: On Tuesday I’ll be presenting a proposal for a strategy to train new virtual patients, which would ideally allow an educator to instantiate a new patient from one set of question-answer pairs. The idea follows some fairly recent work in one-shot learning, and the aim will be to leverage much larger corpora to try to encourage semantically similar questions to be close together in some representation space, to limit the need for extensive training for a new model. The idea is still evolving, so the talk will be very informal, and I hope to get feedback and suggestions about related research that I should be reading, potential pitfalls, extensions, etc.