34 citations · 35 across the 3 of their papers we have counts for
3 papers
cs.IR2022★ 34 cited
C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval
Eugene Yang, Suraj Nair, Ramraj Chandradevan +2
Pretrained language models have improved effectiveness on numerous tasks, including ad-hoc retrieval. Recent work has shown that continuing to pretrain a language model with auxili…
cs.IR2022
Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models
Suraj Nair, Eugene Yang, Dawn Lawrie +5
The advent of transformer-based models such as BERT has led to the rise of neural ranking models. These models have improved the effectiveness of retrieval systems well beyond that…
cs.CL2021★ 1 cited
Cross-language Sentence Selection via Data Augmentation and Rationale Training
Yanda Chen, Chris Kedzie, Suraj Nair +4
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 sentenc…