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Found 4 papers, 1 papers with code
PATQUEST: Papago Translation Quality Estimation
This paper describes the system submitted by Papago team for the quality estimation task at WMT 2020.
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
To address this issue, this paper presents a novel meta-learning algorithm for unsupervised neural machine translation (UNMT) that trains the model to adapt to another domain by utilizing only a small amount of training data.
A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks
Many researchers have utilized the text data called the context sentence, which surrounds the citation tag, and the metadata of the target paper to find the appropriate cited research.
Text Classification using Capsules
This paper presents an empirical exploration of the use of capsule networks for text classification.
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