SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
Comments Accepted by NAACL 2022
作者
Data Mining
Comments Accepted by NAACL 2022
Comments WWW 2022
Comments ICLR 2022. (Code and Models: https://github.com/microsoft/AMOS)
Comments 15 pages, EMNLP 2021 main conference, updated for new related work
Comments ACL 2022 Findings
Comments Accepted in Findings of ACL 2021
Comments WWW 2022
Comments WWW 2022. (Code: https://github.com/yumeng5/TopClus)
Comments The Web Conference (WWW) 2022, 11 pages, 7 figures
Comments ICDM 2021. 10 pages, 4 figures
Comments NeurIPS 2021
Comments NeurIPS 2021. (Code and Models: https://github.com/microsoft/COCO-LM)
Comments NeurIPS 2021
Comments ICLR 2020. Fix several typos in the previous version
Comments To appear in IEEE TKDE
Comments EMNLP 2021. (Code: https://github.com/yumeng5/RoSTER)
Comments EMNLP 2021
Comments Minor format updates. TLDR: Reranking retrieved passages by reader predictions can achieve 10~20 gains in top-1 retrieval accuracy and 1~4 gains in Exact Match (EM) without any training
Comments Minor format updates
Comments NAACL 2021
Comments Work in progress
Comments RepL4NLP 2021
Comments KDD 2021