@InProceedings{alfter-volodina:2018:W18-05,
  author    = {Alfter, David  and  Volodina, Elena},
  title     = {Towards Single Word Lexical Complexity Prediction},
  booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {79--88},
  abstract  = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.},
  url       = {http://www.aclweb.org/anthology/W18-0508}
}