@inproceedings{Noguera:2005,
  abstract = {In a previous paper we proved that Named Entity Recognition plays an important role to improve Question Answering by both increasing the quality of the data and by reducing its quantity. Here we present a more in-depth discussion, studying several ways in which NER can be applied in order to produce a maximum data reduction. We achieve a 60% reduction without significant data loss and a 92.5% with a reasonable implication in data quality.},
  added-at = {2007-12-14T02:44:32.000+0100},
  author = {Noguera, Elisa and Toral, Antonio and Llopis, Fernando and Mu{\~n}oz, Rafael},
  biburl = {http://www.bibsonomy.org/bibtex/28a56675983754175b10280cc944d8e92/diego_ma},
  booktitle = {Proceedings of the 8th International Conference on Text, Speech \& Dialogue},
  interhash = {cc98195db681ce8d82bb6d6572e77618},
  intrahash = {8a56675983754175b10280cc944d8e92},
  keywords = {question_answering named_entities},
  pages = {428-434},
  timestamp = {2007-12-14T02:44:32.000+0100},
  title = {Reducing Question Answering Input Data Using Named Entity Recognition},
  url = {http://dx.doi.org/10.1007/11551874_55},
  year = 2005
}