@inproceedings{Pasca:2001:2,
  abstract = {Finding information of interest from large text collections requires knowledge that goeas beyond the use of several lexical keywords. The WordNet linguistic database encodes massive semantic, morphologic and pragmatic knowledge. This paper explores the art of finding and using linguistic knowledge from WordNet for high-performance textual Question Answering.},
  added-at = {2007-12-14T02:42:57.000+0100},
  author = {sca Marius Pa\ and Harabagiu, Sanda M.},
  biburl = {http://www.bibsonomy.org/bibtex/220ee9f2a07d68f95bf0fb14052f15c51/diego_ma},
  booktitle = {Proceedings of the NAACL 2001 Workshop on WordNet and Other Lexical Resources: Applications, Extensions and Customizations},
  interhash = {757c3120df9d8f28986d623fec60f6a3},
  intrahash = {20ee9f2a07d68f95bf0fb14052f15c51},
  keywords = {question_answering WordNet},
  pages = {138-143},
  timestamp = {2007-12-14T02:42:57.000+0100},
  title = {The Informative Role of {WordNet} in Open-Domain Question Answering},
  year = 2001
}