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Generative Pretraining for Paraphrase Evaluation
We introduce ParaBLEU, a paraphrase representation learning model and evaluation metric for text generation.
Learning De-identified Representations of Prosody from Raw Audio
We propose a method for learning de-identified prosody representations from raw audio using a contrastive self-supervised signal.
Super-resolution of Time-series Labels for Bootstrapped Event Detection
Solving real-world problems, particularly with deep learning, relies on the availability of abundant, quality data.
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