@InProceedings{godea-bulgarov-nielsen:2016:COLING,
  author    = {Godea, Andreea  and  Bulgarov, Florin  and  Nielsen, Rodney},
  title     = {Automatic Generation and Classification of Minimal Meaningful Propositions in Educational Systems},
  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     = {3226--3236},
  abstract  = {Truly effective and practical educational systems will only be achievable when
	they have the ability to fully recognize deep relationships between a
	learner’s interpretation of a subject and the desired conceptual
	understanding. In this paper, we take important steps in this direction by
	introducing a new representation of sentences -- Minimal Meaningful
	Propositions (MMPs), which will allow us to significantly improve the mapping
	between a learner’s answer and the ideal response. Using this technique, we
	make significant progress towards highly scalable and domain independent
	educational systems, that will be able to operate without human intervention.
	Even though this is a new task, we show very good results both for the
	extraction of MMPs and for classification with respect to their importance.},
  url       = {http://aclweb.org/anthology/C16-1304}
}