This paper describes the first report on crosslingual transfer for semantic dependency parsing. We present the insight that there are two different kinds of cross-linguality, namely surface level and semantic level, and try to capture both kinds of cross-linguality by combining annotation projection and model transfer of pre-trained language models. Our experiments showed that the performance of our graph-based semantic dependency parser almost achieved the approximated upper bound.
CITATION STYLE
Ozaki, H., Morio, G., Morishita, T., & Miyoshi, T. (2021). Project-then-transfer: Effective two-stage cross-lingual transfer for semantic dependency parsing. In EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp. 2586–2594). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.eacl-main.221
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