Paper: Towards Effective Tutorial Feedback for Explanation Questions: A Dataset and Baselines

ACL ID N12-1021
Title Towards Effective Tutorial Feedback for Explanation Questions: A Dataset and Baselines
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2012
Authors

We propose a new shared task on grading stu- dent answers with the goal of enabling well- targeted and flexible feedback in a tutorial di- alogue setting. We provide an annotated cor- pus designed for the purpose, a precise speci- fication for a prediction task and an associated evaluation methodology. The task is feasible but non-trivial, which is demonstrated by cre- ating and comparing three alternative baseline systems. We believe that this corpus will be of interest to the researchers working in tex- tual entailment and will stimulate new devel- opments both in natural language processing in tutorial dialogue systems and textual entail- ment, contradiction detection and other tech- niques of interest for a variety of computa- tional linguistics tasks.