Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models
Comments To appear at EMNLP 2021
期刊&会议
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Comments To appear at EMNLP 2021
Comments Accepted to EMNLP 2021. 7 pages
Comments Accepted to EMNLP Findings
Comments EMNLP 2021
Comments EMNLP 2021; Our code is publicly available at https://github.com/szhang42/Uneven_training_data
Comments Accepted by EMNLP 2021, 12 pages
Journal ref EMNLP 2021
Comments EMNLP Findings 2021
Comments EMNLP 2021 main conference
Journal ref EMNLP 2021
Comments EMNLP-Findings 2021
Comments This paper has been accepted my EMNLP'21 main conference
Comments Accepted at EMNLP 2021
Comments Accepted to EMNLP 2021 (main conference)
Comments To appear at EMNLP 2021 as a conference paper
Comments Accepted at EMNLP 2021 main conference
Journal ref EMNLP 2021
Comments 9 pages, 9 figures. Long paper to appear in Empirical Methods in Natural Language Processing 2021 (EMNLP 2021)
Comments EMNLP 2021. (Code: https://github.com/yumeng5/RoSTER)
Comments EMNLP 2021
Journal ref EMNLP 2021 Findings
Comments Camera-ready for Findings of EMNLP 2021
Comments Accepted to Findings of EMNLP 2021
Comments EMNLP 2021 Main Conference
Comments Accepted to EMNLP'2021. Our code and pre-trained models are available at https://github.com/sunlab-osu/ReasonBERT
Comments 13 pages. EMNLP 2021
Comments EMNLP 2021 Findings
Comments EMNLP 2021
Comments 5 pages, 2 figures, EMNLP 2021
Comments EMNLP 2021. Code, hyper-parameters, evaluation results and checkpoints available at https://github.com/huggingface/nn_pruning