Paper: Automatic Treebank Conversion via Informed Decoding

ACL ID C10-2176
Title Automatic Treebank Conversion via Informed Decoding
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

In this paper, we focus on the challenge of automatically converting a constituency treebank (source treebank) to fit the stan- dard of another constituency treebank (tar- get treebank). We formalize the conver- sion problem as an informed decoding procedure: information from original an- notations in a source treebank is incorpo- rated into the decoding phase of a parser trained on a target treebank during the parser assigning parse trees to sentences in the source treebank. Experiments on two Chinese treebanks show significant im- provements in conversion accuracy over baseline systems, especially when training data used for building the parser is small in size.