2 citations · 2 across the 3 of their papers we have counts for
3 papers
Generative Pretraining for Paraphrase Evaluation
Jack Weston, Raphael Lenain, Udeepa Meepegama +1
We introduce ParaBLEU, a paraphrase representation learning model and evaluation metric for text generation. Unlike previous approaches, ParaBLEU learns to understand paraphrasis u…
Learning De-identified Representations of Prosody from Raw Audio
Jack Weston, Raphael Lenain, Udeepa Meepegama +1
We propose a method for learning de-identified prosody representations from raw audio using a contrastive self-supervised signal. Whereas prior work has relied on conditioning mode…
Super-resolution of Time-series Labels for Bootstrapped Event Detection
Ivan Kiskin, Udeepa Meepegama, Steven Roberts
Solving real-world problems, particularly with deep learning, relies on the availability of abundant, quality data. In this paper we develop a novel framework that maximises the ut…