This paper proposes a new shared task on grading student answers with the goal of enabling well-targeted and flexible feedback in a tutorial dialogue setting

Brew, Chris

Dzikovska, Myroslava O.

Nielsen, Rodney D.

UNT Digital Library

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

We propose a new shared task on grading student answers with the goal of enabling well-targeted and flexible feedback in a tutorial dialogue setting. We provide an annotated corpus designed for the purpose, a precise specification for a prediction task and an associated evaluation methodology. The task is feasible but non-trivial, which is demonstrated by creating 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 developments both in natural language processing in tutorial dialogue systems and textual entailment, contradiction detection and other techniques of interest for a variety of computational linguistics tasks

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

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