@InProceedings{pado:2016:COLING,
  author    = {Pado, Ulrike},
  title     = {Get Semantic With Me! The Usefulness of Different Feature Types for Short-Answer Grading},
  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     = {2186--2195},
  abstract  = {Automated short-answer grading is key to help close the automation
	  loop for large-scale, computerised testing in education. A wide
	  range of features on different levels of linguistic processing has
	  been proposed so far.  We investigate the relative importance of the
	  different types of features across a range of standard corpora (both
	  from a language skill and content assessment context, in English and
	  in German). We find that features on the lexical, text similarity
	  and dependency level often suffice to approximate full-model
	  performance. Features derived from semantic processing particularly
	  benefit the linguistically more varied answers in content assessment
	  corpora.},
  url       = {http://aclweb.org/anthology/C16-1206}
}