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- W2798338181 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." @default.
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- W2798338181 date "2018-05-29" @default.
- W2798338181 modified "2023-09-27" @default.
- W2798338181 title "Polyglot Semantic Role Labeling" @default.
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