%0 Conference Proceedings %T SynET: Synonym Expansion using Transitivity %A Yu, Jiale %A Shen, Yongliang %A Ma, Xinyin %A Jia, Chenghao %A Chen, Chen %A Lu, Weiming %Y Cohn, Trevor %Y He, Yulan %Y Liu, Yang %S Findings of the Association for Computational Linguistics: EMNLP 2020 %D 2020 %8 November %I Association for Computational Linguistics %C Online %F yu-etal-2020-synet %X In this paper, we study a new task of synonym expansion using transitivity, and propose a novel approach named SynET, which considers both the contexts of two given synonym pairs. It introduces an auxiliary task to reduce the impact of noisy sentences, and proposes a Multi-Perspective Entity Matching Network to match entities from multiple perspectives. Extensive experiments on a real-world dataset show the effectiveness of our approach. %R 10.18653/v1/2020.findings-emnlp.177 %U https://aclanthology.org/2020.findings-emnlp.177 %U https://doi.org/10.18653/v1/2020.findings-emnlp.177 %P 1961-1970