An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
Comments EMNLP 2020 main track accepted paper
期刊&会议
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Comments EMNLP 2020 main track accepted paper
Comments To appear in EMNLP Findings 2020
Comments Accepted to NLP Beyond Text workshop, EMNLP 2020
Comments Accepted by EMNLP 2020
Comments Accepted to EMNLP 2020
Comments Findings of EMNLP 2020, presented at CoNLL 2020
Comments Accepted to Workshop on Scholarly Document Processing (SDP) at EMNLP 2020
Comments To appear in the the main conference of EMNLP 2020
Comments 10 pages, 4 figures, 3 tables, accepted to EMNLP 2020 Findings. Repo: https://github.com/GeneZC/OTE-MTL
Comments Accepted by EMNLP 2020
Comments EMNLP 2020 Findings
Comments EMNLP 2020 (14 pages)
Comments Empirical Methods in Natural Language Processing (EMNLP), 2020
Comments EMNLP 2020 Findings
Comments Accepted at Findings of EMNLP'20 and SustaiNLP 2020 at EMNLP'20, 12 pages
Comments EMNLP 2020 Findings
Journal ref Published in EMNLP 2020
Comments EMNLP 2020
Comments EMNLP 2020
Comments Accepted at the EMNLP 2020 Workshop on Structured Prediction for NLP
Comments 11 pages, 1 figure, accepted in EMNLP 2020
Comments EMNLP 2020 Camera ready version
Comments Natural Language Processing. 15 pages, 3 figures, Findings of EMNLP-2020
Comments Natural Language Processing. 9 pages, 3 figures. EMNLP-2020
Comments EMNLP 2020 Clinical NLP workshop
Comments 4th Workshop on Structured Prediction for NLP (EMNLP 2020)
Comments 7 pages, EMNLP 2020
Comments Accepted to EMNLP 2020, short paper
Comments EMNLP 2020
Comments Equal Contributions of Authors Pierre L. Dognin, Igor Melnyk, and Inkit Padhi. Accepted at EMNLP'20