ConNER: Consistency Training for Cross-lingual Named Entity Recognition
Comments Accepted by EMNLP 2022
期刊&会议
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Comments Accepted by EMNLP 2022
Comments To appear at SustaiNLP@EMNLP 2022. Code is available: https://github.com/j6mes/sustainlp2022-deardr
Comments Accepted by the 4th Workshop on Data Science with Human-in-the-loop (DaSH) at EMNLP 2022
Comments Accepted at EMNLP-2022. 19 pages, 17 figures, 4 tables
Comments EMNLP 2022 (findings)
Comments In Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings)
Comments EMNLP 2022; corrected typos in appendix tables
Comments EMNLP 2022 camera ready version
Comments Accepted at EMNLP 2022. Camera-ready version
Comments Findings of EMNLP 2022
Comments EMNLP 2022
Journal ref Findings of EMNLP 2022 short
Comments Accepted to EMNLP 2022 (updated Github link)
Comments Published on EMNLP 2022
Comments Findings of EMNLP, 2022. Code and Data: https://github.com/ayushbits/pe-ocr-sanskrit
Comments EMNLP 2022
Comments Findings of EMNLP 2022
Comments EMNLP 2022 (34 pages), model checkpoints available at https://github.com/martiansideofthemoon/rankgen. Added comparisons to newer decoding methods (contrastive search, contrastive decoding, eta sampling)
Comments EMNLP 2022 Findings camera ready
Comments Published in EMNLP 2022
Comments EMNLP 2022, 13 pages
Comments EMNLP Findings camera-ready
Comments Published at EMNLP 2022
Comments detecting previously fact-checked claims, fact-checking, disinformation, fake news, social media, political debates
Journal ref EMNLP-2022
Journal ref EMNLP 2021
Comments EMNLP 2022 (11 pages)
Comments Accepted by EMNLP'2022
Comments Accepted at EMNLP 2022. Camera-ready version
Comments Accepted at EMNLP 2022. Camera-ready version
Comments EMNLP 2022