Title: Polyglot Semantic Role Labeling
Advisors: Noah Smith and Luke Zettlemoyer
Abstract: Previous approaches to multilingual semantic dependency parsing treat languages independently, without exploiting the similarities between semantic structures across languages. We experiment with a new approach where we combine resources from different languages in the CoNLL 2009 shared task (Hajič et al., 2009) to build a single polyglot semantic dependency parser. Notwithstanding the absence of parallel data, and the dissimilarity in annotations between languages, our approach results in improvement in parsing performance on several languages over a monolingual baseline. Analysis of the polyglot models' performance provides a new understanding of the similarities and differences between languages in the shared task.