@InProceedings{sladoljevagejev-vsnajder:2017:I17-2,
  author    = {Sladoljev Agejev, Tamara  and  \v{S}najder, Jan},
  title     = {Using Analytic Scoring Rubrics in the Automatic Assessment of College-Level Summary Writing Tasks in L2},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {181--186},
  abstract  = {Assessing summaries is a demanding, yet useful task which provides valuable
	information on              language competence, especially for second language
	learners.
	We consider automated scoring of college-level summary writing task in English
	as a second language (EL2). We adopt the Reading-for-Understanding (RU)
	cognitive framework, extended with the Reading-to-Write (RW) element, and use
	analytic scoring with six rubrics covering content and writing quality. We show
	that regression models with reference-based and linguistic features
	considerably outperform the baselines across all the rubrics. Moreover, we find
	interesting correlations between summary features and analytic rubrics,
	revealing the links between the RU and RW constructs.},
  url       = {http://www.aclweb.org/anthology/I17-2031}
}