A Simple yet Effective Joint Training Method for Cross-Lingual Universal Dependency Parsing
2018-10-01CONLL 2018Unverified0· sign in to hype
Danlu Chen, Mengxiao Lin, Zhifeng Hu, Xipeng Qiu
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This paper describes Fudan's submission to CoNLL 2018's shared task Universal Dependency Parsing. We jointly train models when two languages are similar according to linguistic typology and then ensemble the models using a simple re-parse algorithm. We outperform the baseline method by 4.4\% (2.1\%) on average on development (test) set in CoNLL 2018 UD Shared Task.