Semi-Supervised Semantic Role Labeling with Cross-View Training

IJCNLP 2019 Rui CaiMirella Lapata

The successful application of neural networks to a variety of NLP tasks has provided strong impetus to develop end-to-end models for semantic role labeling which forego the need for extensive feature engineering. Recent approaches rely on high-quality annotations which are costly to obtain, and mostly unavailable in low resource scenarios (e.g., rare languages or domains)... (read more)

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