13.11.2020
MCML at EMNLP 2020
Two Accepted Papers (2 Findings)
Conference on Empirical Methods in Natural Language Processing, Virtual, Nov 16-20, 2020
We are happy to announce that MCML researchers have contributed a total of 2 papers to EMNLP 2020: 2 Finding papers. Congrats to our researchers!
Findings Track (2 papers)
N. Kassner • H. Schütze
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA.
Findings @EMNLP 2020 - Findings of the Conference on Empirical Methods in Natural Language Processing. Virtual, Nov 16-20, 2020. DOI
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA.
Findings @EMNLP 2020 - Findings of the Conference on Empirical Methods in Natural Language Processing. Virtual, Nov 16-20, 2020. DOI
M. J. Sabet • P. Dufter • F. Yvon • H. Schütze
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings.
Findings @EMNLP 2020 - Findings of the Conference on Empirical Methods in Natural Language Processing. Virtual, Nov 16-20, 2020. DOI
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings.
Findings @EMNLP 2020 - Findings of the Conference on Empirical Methods in Natural Language Processing. Virtual, Nov 16-20, 2020. DOI
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Honorable Mention at GCPR 2026
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Honorable Mention at GCPR 2026
A GCPR 2026 paper co-authored by MCML Director Daniel Cremers and MCML PI Riccardo Marin received an Honorable Mention.
