deepQuest-py: Large and Distilled Models for Quality Estimation

2021 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2021): PROCEEDINGS OF SYSTEM DEMONSTRATIONS(2021)

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摘要
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-level models implemented via knowledge distillation; and (3) a web interface for testing models and visualising their predictions. deepQuestpy is available at https://github.com/sheffieldnlp/deepQuest-py under a CC BY-NC-SA licence.
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