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Ryuto Konno

2 accepted papers

2021

Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution

EMNLP 2021main

Masked language models (MLMs) have contributed to drastic performance improvements with regard to zero anaphora resolution (ZAR). To further improve this approach, in this study, we made two proposals. The first is a new pretraining task that trains MLMs on anaphoric relations with explicit supervis…

2020

An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution

COLING 2020main

One critical issue of zero anaphora resolution (ZAR) is the scarcity of labeled data. This study explores how effectively this problem can be alleviated by data augmentation. We adopt a state-of-the-art data augmentation method, called the contextual data augmentation (CDA), that generates labeled t…

Cited by 9SourcePDFScholar