@InProceedings{welch-mihalcea:2016:COLING,
  author    = {Welch, Charles  and  Mihalcea, Rada},
  title     = {Targeted Sentiment to Understand Student Comments},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {2471--2481},
  abstract  = {We address the task of targeted sentiment as a means of understanding the
	sentiment that students hold toward courses and instructors, as expressed by
	students in their comments. We introduce a new dataset consisting of student
	comments annotated for targeted sentiment and describe a system that can both
	identify the courses and instructors mentioned in student comments, as well as
	label the students' sentiment toward those entities. Through several
	comparative evaluations, we show that our system outperforms previous work on a
	similar task.},
  url       = {http://aclweb.org/anthology/C16-1233}
}