Abiola Obamuyide — accepted AI-conference papers

2021

Continual Quality Estimation with Online Bayesian Meta-Learning

Abiola Obamuyide, Marina Fomicheva, Lucia Specia

ACL 2021short

Most current quality estimation (QE) models for machine translation are trained and evaluated in a static setting where training and test data are assumed to be from a fixed distribution. However, in real-life settings, the test data that a deployed QE model would be exposed to may differ from its t…

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2021

deepQuest-py: Large and Distilled Models for Quality Estimation

Fernando Alva-Manchego, Abiola Obamuyide, Amit Gajbhiye, Frédéric Blain, Marina Fomicheva, Lucia Specia

EMNLP 2021system demonstrations

We introduce deepQuest-py, a framework for training and evaluation of large and light-weight models for Quality Estimation (QE). deepQuest-py provides access to (1) state-of-the-art models based on pre-trained Transformers for sentence-level and word-level QE; (2) light-weight and efficient sentence…

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