deepQuest-py: Large and Distilled Models for Quality Estimation

Nov 8, 2021·
Fernando Alva-Manchego
Fernando Alva-Manchego
,
Abiola Obamuyide
,
Amit Gajbhiye
,
Frédéric Blain
,
Marina Fomicheva
,
Lucia Specia
· 0 min read
Abstract
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. deepQuest-py is available at https://github.com/sheffieldnlp/deepQuest-py under a CC BY-NC-SA licence.
Type
Publication
EMNLP 2021: System Demonstrations