ConveRT: Efficient and Accurate Conversational Representations from Transformers

Matthew Henderson, IƱigo Casanueva, Nikola Mrksic, Pei-hao Su, Tsung-Hsien Wen, Ivan Vulic. ConveRT: Efficient and Accurate Conversational Representations from Transformers. In Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020. pages 2161-2174, Association for Computational Linguistics, 2020. [doi]

Abstract

Abstract is missing.