text: 139,124,1001983568384577538,1152296594,Swabha Swayamdipta,"Our #ACL2018 paper with Phoebe Mulcaire is now available on arXiv: <LINK>. We find that combining languages for training SRL systems can tricky, because of differences between the languages, and the diverse annotation schemes used in the CoNLL 2009 shared task.",https://arxiv.org/abs/1805.11598,"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 a pair of languages in the CoNLL 2009 shared task to build a polyglot semantic role labeler. Notwithstanding the absence of parallel data, and the dissimilarity in annotations between languages, our approach results in an improvement in SRL performance on multiple languages over a monolingual baseline. Analysis of the polyglot model shows it to be advantageous in lower-resource settings. ",Polyglot Semantic Role Labeling,1,"['Our #ACL2018 paper with Phoebe Mulcaire is now available on arXiv: <LINK>. We find that combining languages for training SRL systems can tricky, because of differences between the languages, and the diverse annotation schemes used in the CoNLL 2009 shared task.']",18,05,261