arXiv · 1805.11598
Polyglot Semantic Role Labeling
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 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.
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Phoebe Mulcaire, Swabha Swayamdipta, Noah Smith. 2018-05-29. Polyglot Semantic Role Labeling. https://arxiv.org/abs/1805.11598
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