Detecting Good Arguments in a Non-Topic-Specific Way: An Oxymoron?
Beata Beigman Klebanov, Binod Gyawali, Song Yi · 2017
Automatic identification of good arguments on a controversial topic has applications in civics and education, to name a few.While in the civics context it might be acceptable to create separate models for each topic, in the context of scoring of students' writing there is a preference for a single model that applies to all responses.Given that good arguments for one topic are likely to be irrelevant for another, is a single model for detecting good arguments a contradiction in terms?We investigate the extent to which it is possible to close the performance gap between topicspecific and across-topics models for identification of good arguments.