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Found 5 papers, 2 papers with code
Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language Model
In addition, to enhance diversity, we incorporate the idea of soft word substitution for data augmentation which replaces a word with a probabilistic distribution over the vocabulary.
Complex Relation Extraction: Challenges and Opportunities
In recent years, many complex relation extraction tasks, i. e., the variants of simple binary relation extraction, are proposed to meet the complex applications in practice.
Collective Loss Function for Positive and Unlabeled Learning
On the contrary, traditional machine learning algorithms often rely on negative examples, otherwise the model would be prone to collapse and always-true predictions.
Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training
A standard machine translation system is usually trained on parallel corpus composed of clean text and will perform poorly on text with recognition noise, a gap well known in speech translation community.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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