Predicate Argument Structure Analysis using Partially Annotated Corpora
Koichiro Yoshino, Shinsuke Mori, Tatsuya Kawahara · 2013
We present a novel scheme of predicate argument structure analysis that can be trained from partially annotated corpora. In order to allow partial annotation, this semantic role labeler does not require word dependency information. The advan-tage of partial annotation is that it allows for smooth domain adaptation of training data and improves the adaptability to a va-riety of domains. 1