no code implementations • 14 Mar 2024 • Jinhui Ouyang, Mingzhu Wu, Xinglin Li, Hanhui Deng, Di wu
To better extract the joint features of heterogeneous EEG data as well as enhance classification accuracy, BRIEDGE introduces an informer-based ProbSparse self-attention mechanism.
1 code implementation • ACL 2021 • Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych
We propose a methodology for creating MRC datasets that better reflect the challenges of coreference reasoning and use it to create a sample evaluation set.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych
Our framework weights each example based on the biases it contains and the strength of those biases in the training data.