Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing

EACL 2017 Ryosuke KohitaHiroshi NojiYuji Matsumoto

Universal Dependencies (UD) is becoming a standard annotation scheme cross-linguistically, but it is argued that this scheme centering on content words is harder to parse than the conventional one centering on function words. To improve the parsability of UD, we propose a back-and-forth conversion algorithm, in which we preprocess the training treebank to increase parsability, and reconvert the parser outputs to follow the UD scheme as a postprocess... (read more)

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