Towards Realistic Single-Task Continuous Learning Research for NER
Comments 11 pages, 2 figures, Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) (short paper), November 2021
期刊&会议
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Comments 11 pages, 2 figures, Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) (short paper), November 2021
Comments 11 pages. Accepted to the main conference of EMNLP 2021 (long paper)
Comments 11 pages, 2 figures, Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) (long paper), November 2021
Comments rejected by EMNLP 2020
Comments Accepted to W-NUT @ EMNLP 2021 (upd: correction in Table 3)
Comments Accepted at EMNLP 2021 Main Conference (short papers); 4 pages, 1 figure, 3 tables
Comments Accepted to the Natural Legal Language Processing workshop (NLLP 2021), colocated with EMNLP 2021
Comments EMNLP 2021
Comments To appear in Proceedings of EMNLP 2021 (main conference). The first three authors contribute equally to this work
Comments To Appear in EMNLP 2021 Findings. The dataset is available at: https://github.com/tingyaohsu/SciCap
Comments Accepted to EMNLP 2021 (Main Conference)
Comments Accepted for publication at the Findings of EMNLP 2021
Comments Accepted for Findings of EMNLP 2021
Comments 9 pages, 2 figures, 3 tables. Accepted at EMNLP 2021
Comments EMNLP 2021; Fangyu and Emanuele contributed equally; MaRVL website: https://marvl-challenge.github.io
Comments Accepted to EMNLP 2021 Findings
Comments accepted at findings of EMNLP 2021
Comments EMNLP 2021 (main conference)
Comments EMNLP 2021 (16 pages)
Comments Findings of EMNLP 2021
Comments EMNLP 2021
Comments Accepted as a long paper to EMNLP 2021
Comments Accepted by EMNLP 2021
Comments Camera ready version. Accepted to EMNLP 2021 Findings. Code for reproducing the experiments can be found at: https://github.com/twitter-research/lmsoc
Comments EMNLP 2021 (short paper)
Comments Trained model: https://huggingface.co/deepset/gbert-large-sts
Journal ref MRQA@EMNLP 2021
Comments Accepted in the Findings of EMNLP 2021
Comments Accepted for publication at the 1st Multilingual Representation Learning workshop (MRL 2021) co-located with EMNLP 2021. 15 pages, 8 figures, 6 tables
Comments Accepted to EMNLP 2021 (main conference)
Comments EMNLP 2021