Yanda Chen

Cross-language Sentence Selection via Data Augmentation and Rationale Training

2021 · arXiv (Cornell University)

This paper proposes an approach to cross-language sentence selection in a low-resource setting. It uses data augmentation and negative sampling techniques on noisy parallel sentence data to directly learn a cross-lingual embedding-based query relevance model. …