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
Related
30.06.2026
All AI? an Elephant With Three Legs and an Ice Cream Stand With Enough Ice Cream for Everyone
In mid-June, four AI workshops took place at the Eching Municipal Library for all fourth-grade pupils of the primary school on Danziger Straße.
30.06.2026
MCML Junior Members Featured in BR Abendschau
LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.
