@InProceedings{horbach-ding-zesch:2017:NLPTEA,
  author    = {Horbach, Andrea  and  Ding, Yuning  and  Zesch, Torsten},
  title     = {The Influence of Spelling Errors on Content Scoring Performance},
  booktitle = {Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)},
  month     = {December},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {45--53},
  abstract  = {Spelling errors occur frequently in educational settings, but their influence
	on automatic scoring is largely unknown.
	We therefore investigate the influence of spelling errors on content scoring
	performance using the example of the ASAP corpus.
	We conduct an annotation study on the nature of spelling errors in the ASAP
	dataset and utilize these finding in machine learning experiments that measure
	the influence of spelling errors on automatic content scoring. Our main finding
	is that scoring methods using both token and character n-gram features are
	robust against spelling errors up to the error frequency in ASAP.},
  url       = {http://www.aclweb.org/anthology/W17-5908}
}