@InProceedings{sheng-EtAl:2017:BEA,
  author    = {Sheng, Emily  and  Natarajan, Prem  and  Gordon, Jonathan  and  Burns, Gully},
  title     = {An Investigation into the Pedagogical Features of Documents},
  booktitle = {Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {109--120},
  abstract  = {Characterizing the content of a technical document in terms of its learning
	utility can be useful for applications related to education, such as generating
	reading lists from large collections of documents. We refer to this learning
	utility as the ``pedagogical value'' of the document to the learner. While
	pedagogical value is an important concept that has been studied extensively
	within the education domain, there has been little work exploring it from a
	computational, i.e., natural language processing (NLP), perspective. To allow a
	computational exploration of this concept, we introduce the notion of
	``pedagogical roles'' of documents (e.g., Tutorial and Survey) as an
	intermediary component for the study of pedagogical value. Given the lack of
	available corpora for our exploration, we create the first annotated corpus of
	pedagogical roles and use it to test baseline techniques for automatic
	prediction of such roles.},
  url       = {http://www.aclweb.org/anthology/W17-5012}
}