NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Tianbao Xie; Chen Henry Wu; Peng Shi 010; Ruiqi Zhong; Torsten Scholak; Michihiro Yasunaga; Chien-Sheng Wu; Ming Zhong 005; Pengcheng Yin; Sida I. Wang; Victor Zhong; Bailin Wang; et al. (EMNLP, 2022)

The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models. - Yao Yan; Thomas Yu; Kathleen Muenzen; Sijia Liu 002; Connor Boyle; George Koslowski; Jiaxin Zheng; Nicholas J. Dobbins; Clement Essien; Hongfang Liu; Larsson Omberg; Meliha Yestigen; et al. (CoRR, 2022)