Title
Towards effective tutorial feedback for explanation questions: a dataset and baselines
Abstract
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 textual 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.
Year
Venue
Keywords
2012
HLT-NAACL
alternative baseline system,annotated corpus,prediction task,explanation question,new shared task,associated evaluation methodology,tutorial dialogue system,towards effective tutorial feedback,tutorial dialogue setting,computational linguistics task,textual entailment,new development
Field
DocType
Citations 
Grading (education),Textual entailment,Computer science,Computational linguistics,Baseline (configuration management),Natural language processing,Artificial intelligence,Domain model,Machine learning,Contradiction
Conference
29
PageRank 
References 
Authors
1.44
20
3
Name
Order
Citations
PageRank
Myroslava O. Dzikovska136035.49
Rodney D. Nielsen226224.93
Chris Brew332144.44