no code implementations • LREC 2022 • Nishtha Jain, Declan Groves, Lucia Specia, Maja Popović
This work explores a light-weight method to generate gender variants for a given text using pre-trained language models as the resource, without any task-specific labelled data.
1 code implementation • ACL (GeBNLP) 2021 • Nishtha Jain, Maja Popovic, Declan Groves, Eva Vanmassenhove
The method can be applied both for creating gender balanced outputs as well as for creating gender balanced training data.
no code implementations • 5 Jun 2018 • Chao-Hong Liu, Declan Groves, Akira Hayakawa, Alberto Poncelas, Qun Liu
Understanding and being able to react to customer feedback is the most fundamental task in providing good customer service.
no code implementations • IJCNLP 2017 • Chao-Hong Liu, Yasufumi Moriya, Alberto Poncelas, Declan Groves
This document introduces the IJCNLP 2017 Shared Task on Customer Feedback Analysis.
no code implementations • LREC 2014 • D, S apat, ipan, Declan Groves
State-of-the-art statistical machine translation (SMT) technique requires a good quality parallel data to build a translation model.