1 code implementation • Findings (EMNLP) 2021 • Jarana Manotumruksa, Jeff Dalton, Edgar Meij, Emine Yilmaz
While state-of-the-art Dialogue State Tracking (DST) models show promising results, all of them rely on a traditional cross-entropy loss function during the training process, which may not be optimal for improving the joint goal accuracy.
1 code implementation • SIGDIAL (ACL) 2022 • Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz
The annotations in the training set remain unchanged (same as MultiWOZ 2. 1) to elicit robust and noise-resilient model training.
1 code implementation • 22 Jan 2021 • Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz
Then a stacked slot self-attention is applied on these features to learn the correlations among slots.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz
Semantic hashing is a powerful paradigm for representing texts as compact binary hash codes.