Science Question Answering using Instructional Materials
This addresses science education for elementary students, but appears incremental as it builds on existing instructional material methods.
The paper tackled elementary science test question answering by leveraging instructional materials, proposing a max-margin framework to learn hidden structures linking questions, answers, and materials, and reported that it outperformed strong baselines.
We provide a solution for elementary science test using instructional materials. We posit that there is a hidden structure that explains the correctness of an answer given the question and instructional materials and present a unified max-margin framework that learns to find these hidden structures (given a corpus of question-answer pairs and instructional materials), and uses what it learns to answer novel elementary science questions. Our evaluation shows that our framework outperforms several strong baselines.