Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation
Comments Accepted to Findings of EMNLP 2020
期刊&会议
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Comments Accepted to Findings of EMNLP 2020
Comments accepted at EMNLP 2020
Comments accepted at Findings of EMNLP 2020
Comments Accepted to Findings of EMNLP 2020
Comments To appear at EMNLP 2020
Comments To appear in EMNLP 2020 (Long Paper)
Comments EMNLP 2020 camera ready
Comments To appear in EMNLP 2020
Comments Findings in EMNLP 2020
Comments EMNLP 2020 long paper
Comments EMNLP 2020 (system demonstration)
Comments To appear in findings of EMNLP 2020
Comments Accepted to EMNLP 2020
Comments to appear in Findings of EMNLP 2020
Comments accepted by EMNLP 2020
Comments To appear at Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP, 2020) as a full paper
Comments Findings of EMNLP 2020, 9 pages, 6 figures
Comments Accepted by EMNLP 2020 (Main Conference)
Comments EMNLP 2020
Comments Accepted at EMNLP 2020
Comments Accepted as a short paper in Findings of EMNLP 2020
Comments Accepted to EMNLP 2020
Comments Accepted in the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)
Comments 10 pages, accepted to Findings of EMNLP 2020
Comments 10 pages
Journal ref Findings of EMNLP 2020
Comments 19 pages, 6 figures, Will appear in EMNLP 2020
Comments Accepted to Findings of EMNLP 2020 (Long Paper)
Comments The paper is about prediction smoothing for improving sequence to sequence performance. Related to but not the same as label smoothing. Work in progress. Updates with deeper analyses and comparisons to related methods to follow. Rejected from EMNLP 2020
Comments To appear in EMNLP 2020 (Long Paper)
Comments accepted to EMNLP 2020