Stig Johan Berggren
Regression or classification? Automated Essay Scoring for Norwegian
Stig Johan Berggren | Taraka Rama | Lilja Øvrelid
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
In this paper we present first results for the task of Automated Essay Scoring for Norwegian learner language. We analyze a number of properties of this task experimentally and assess (i) the formulation of the task as either regression or classification, (ii) the use of various non-neural and neural machine learning architectures with various types of input representations, and (iii) applying multi-task learning for joint prediction of essay scoring and native language identification. We find that a GRU-based attention model trained in a single-task setting performs best at the AES task.