1 |
Green NLP panel ...
|
|
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Iryna; Arase, Yuki; Blunsom, Phil; Diab, Mona; Dodge, Jesse; Liang, Percy; Raffel, Colin; Schwartz, Roy; Smith, Noah; Strubell, Emma; Zhang, Yue. - : Underline Science Inc., 2021
|
|
Abstract:
...
|
|
URL: https://dx.doi.org/10.48448/rn9m-zf06 https://underline.io/lecture/31194-green-nlp-panel
|
|
BASE
|
|
Hide details
|
|
2 |
A Generative Framework for Simultaneous Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Pretraining the Noisy Channel Model for Task-Oriented Dialogue ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Counterfactual Data Augmentation for Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Better Document-Level Machine Translation with Bayes’ Rule
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 346-360 (2020) (2020)
|
|
BASE
|
|
Show details
|
|
6 |
From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042)
|
|
|
|
BASE
|
|
Show details
|
|
7 |
From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042) ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|