@InProceedings{amorim-veloso:2017:EACLSRW17,
  author    = {Amorim, Evelin  and  Veloso, Adriano},
  title     = {A Multi-aspect Analysis of Automatic Essay Scoring for Brazilian Portuguese},
  booktitle = {Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {94--102},
  abstract  = {Several methods for automatic essay scoring (AES) for English language have
	been
	proposed. However, multi-aspect AES systems for other languages are unusual.
	Therefore, we propose a multi-aspect AES system to apply on a dataset of
	Brazilian
	Portuguese essays, which human experts evaluated according to five
	aspects defined by Brazilian Government to the National
	Exam to High School Student (ENEM). These aspects are skills that
	student must master and every skill is assessed apart from each other.
	Besides the
	prediction of each aspect, the feature analysis
	also was performed for each aspect. The AES system proposed
	employs several features already employed by AES systems for
	English language. Our results show that predictions for some aspects performed
	well with
	the features we employed, while predictions for other aspects performed poorly.
	Also, it is possible to note the difference between the five aspects
	in the detailed feature analysis we performed. Besides these contributions,
	the eight millions of enrollments every year for ENEM
	raise some challenge issues for future directions
	in our research.},
  url       = {http://www.aclweb.org/anthology/E17-4010}
}