Paper: Training Parsers on Incompatible Treebanks

ACL ID N13-1013
Title Training Parsers on Incompatible Treebanks
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

We consider the problem of training a sta- tistical parser in the situation when there are multiple treebanks available, and these tree- banks are annotated according to different lin- guistic conventions. To address this problem, we present two simple adaptation methods: the first method is based on the idea of using a shared feature representation when parsing multiple treebanks, and the second method on guided parsing where the output of one parser provides features for a second one. To evaluate and analyze the adaptation meth- ods, we train parsers on treebank pairs in four languages: German, Swedish, Italian, and En- glish. We see significant improvements for all eight treebanks when training on the full training sets. However, the clearest benefits are seen when we consider smaller t...