@inproceedings{noh14:_languag_model_sensit_discour_contex,
  abstract = {The paper proposes a meta language model that can dynamically incorporate the influence of wider discourse context. The model provides a conditional probability in forms of P (text|context), where the context can be arbitrary length of text, and is used to influence the probability distribution over documents. A preliminary evaluation using a 3-gram model as the base language model shows significant reductions in perplexity by incorporating discourse context.},
  added-at = {2017-04-03T19:28:28.000+0200},
  address = {Hildesheim, Germany},
  author = {Noh, Tae-Gil and Pad\'o, Sebastian},
  biburl = {https://puma.ub.uni-stuttgart.de/bibtex/249c4daf401e03431039badc8a4510b48/sp},
  booktitle = {Proceedings of KONVENS},
  interhash = {1bd0bdad80ea99538f16ee17f2cfbc15},
  intrahash = {49c4daf401e03431039badc8a4510b48},
  keywords = {conference myown},
  pages = {201--206},
  timestamp = {2017-04-03T17:28:32.000+0200},
  title = {A Language Model Sensitive to Discourse Context},
  url = {http://opus.bsz-bw.de/ubhi/volltexte/2014/282/},
  year = 2014
}