3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts
Mohna Chakraborty, Adithya Kulkarni, Qi Li
Recent studies have demonstrated that natural-language prompts can help to leverage the knowledge learned by pre-trained language models for the binary sentence-level sentiment cla…
cs.CL2022★ 1 cited
Improving Distantly Supervised Relation Extraction by Natural Language Inference
Kang Zhou, Qiao Qiao, Yuepei Li +1
To reduce human annotations for relation extraction (RE) tasks, distantly supervised approaches have been proposed, while struggling with low performance. In this work, we propose…
cs.LG2020★ 3 cited
Partially-Typed NER Datasets Integration: Connecting Practice to Theory
Shi Zhi, Liyuan Liu, Yu Zhang +4
While typical named entity recognition (NER) models require the training set to be annotated with all target types, each available datasets may only cover a part of them. Instead o…