Search Results for author: Masato Umakoshi

Found 1 papers, 0 papers with code

Japanese Zero Anaphora Resolution Can Benefit from Parallel Texts Through Neural Transfer Learning

no code implementations Findings (EMNLP) 2021 Masato Umakoshi, Yugo Murawaki, Sadao Kurohashi

Parallel texts of Japanese and a non-pro-drop language have the potential of improving the performance of Japanese zero anaphora resolution (ZAR) because pronouns dropped in the former are usually mentioned explicitly in the latter.

Cross-Lingual Transfer Language Modelling +3

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