Treeblazing: Using External Treebanks to Filter Parse Forests for Parse Selection and Treebanking
Andrew MacKinlay, Rebecca Dridan, Dan Flickinger, Stephan Oepen, Timothy J. Baldwin · International Joint Conference on Natural Language Processing · 2011
We describe “treeblazing”, a method of using annotations from the GENIA treebank to constrain a parse forest from an HPSG parser. Combining this with self-training, we show significant dependency score improvements in a task of adaptation to the biomedical domain, reducing error rate by 9% compared to out-of-domain gold data and 6% compared to self-training. We also demonstrate improvements in treebanking efficiency, requiring 25% fewer decisions, and 17% less annotation time.