Paper: Probabilistic Parsing For German Using Sister-Head Dependencies

ACL ID P03-1013
Title Probabilistic Parsing For German Using Sister-Head Dependencies
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2003
Authors

We present a probabilistic parsing model for German trained on the Negra tree- bank. We observe that existing lexicalized parsing models using head-head depen- dencies, while successful for English, fail to outperform an unlexicalized baseline model for German. Learning curves show that this effect is not due to lack of training data. We propose an alternative model that uses sister-head dependencies instead of head-head dependencies. This model out- performs the baseline, achieving a labeled precision and recall of up to 74%. This in- dicates that sister-head dependencies are more appropriate for treebanks with very flat structures such as Negra.