@inproceedings{Atserias:2001,
  abstract = {This work explores a new robust approach for Semantic Parsing of unrestricted texts. Our approach considers Semantic Parsing as a Consistent Labelling Problem (CLP), allowing the integration of several knowledge types (syntactic and semantic) obtained from different sources (linguistic and statistic). The current implementation obtains 95\% accuracy in model identification and 72\% in case-role filling.},
  added-at = {2007-12-14T02:35:37.000+0100},
  author = {Atserias, Jordi and Padr{\'o}, Llu{\'\i}s and Rigau, German},
  biburl = {http://www.bibsonomy.org/bibtex/24ea0c4e4133992911ca9e67b51f866a4/diego_ma},
  interhash = {96358f96e9412d27e5aa0188526c7a0a},
  intrahash = {4ea0c4e4133992911ca9e67b51f866a4},
  keywords = {NLP robust_parsing},
  note = {Also available at arXiv:cs.CL/0109023},
  timestamp = {2007-12-14T02:35:37.000+0100},
  title = {Integrating Multiple Knowledge Sources for Robust Semantic Parsing},
  year = 2001
}