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Zero-shot Cross-lingual Conversational Semantic Role Labeling
[article]
2022
arXiv
pre-print
While conversational semantic role labeling (CSRL) has shown its usefulness on Chinese conversational tasks, it is still under-explored in non-Chinese languages due to the lack of multilingual CSRL annotations for the parser training. To avoid expensive data collection and error-propagation of translation-based methods, we present a simple but effective approach to perform zero-shot cross-lingual CSRL. Our model implicitly learns language-agnostic, conversational structure-aware and
arXiv:2204.04914v1
fatcat:bhniez3z6zgvliankwmit2hwji