Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training
<|reference_start|>Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training: We present a new approach to stochastic modeling of constraint-based grammars that is based on log-linear models and uses EM for estimation from unannotated data. The techniques are applied to an LFG grammar for German. Evaluation on an exact match task yields 86% precision for an ambiguity rate of 5.4, and 90% precision on a subcat frame match for an ambiguity rate of 25. Experimental comparison to training from a parsebank shows a 10% gain from EM training. Also, a new class-based grammar lexicalization is presented, showing a 10% gain over unlexicalized models.<|reference_end|>
@article{riezler2000lexicalized,
    title={Lexicalized Stochastic Modeling of Constraint-Based Grammars using
  Log-Linear Measures and EM Training},
    author={Stefan Riezler, Detlef Prescher, Jonas Kuhn, Mark Johnson},
    journal={Proceedings of the 38th Annual Meeting of the ACL, 2000},
    year={2000},
    archivePrefix={arXiv},
    eprint={cs/0008034},
    primaryClass={cs.CL}
}