@inproceedings{baldewein04:_seman_role_label_with_simil,
  abstract = {We describe a system for semantic role assignment built as part of the Senseval III task, based on an off-the-shelf parser and Maxent and Memory-Based learners. We focus on generalisation using several similarity measures to increase the amount of training data available and on the use of EM-based clustering to improve role assignment. Our final score yields Precision=73.6\%, Recall=59.4\% (F=65.7).},
  added-at = {2017-04-03T19:28:28.000+0200},
  address = {Barcelona, Spain},
  author = {Baldewein, Ulrike and Erk, Katrin and Padó, Sebastian and Prescher, Detlef},
  biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2e178c00b7e13a971620b10dc3997bafd/sp},
  booktitle = {Proceedings of SENSEVAL 3},
  interhash = {bd184c6ee1183e62a16686ed40bdd233},
  intrahash = {e178c00b7e13a971620b10dc3997bafd},
  keywords = {conference myown},
  timestamp = {2017-04-03T17:28:32.000+0200},
  title = {Semantic Role Labelling With Similarity-Based
                  Generalisation Using {EM}-based Clustering},
  url = {http://www.aclweb.org/anthology/W/W04/W04-0817.pdf},
  year = 2004
}