Semi-Supervised Clustering with Contrastive Learning for Discovering New Intents

no code implementations • 7 Jan 2022 • Feng Wei, Zhenbo Chen, Zhenghong Hao, Fengxin Yang, Hua Wei, Bing Han, Sheng Guo

To make DCSC fully utilize the limited known intents, we propose a two-stage training procedure for DCSC, in which DCSC will be trained on both labeled samples and unlabeled samples, and achieve better text representation and clustering performance.

Clustering Contrastive Learning +1

PINGAN Omini-Sinitic at SemEval-2021 Task 4:Reading Comprehension of Abstract Meaning

no code implementations • SEMEVAL 2021 • Ye Wang, Yanmeng Wang, Haijun Zhu, Bo Zeng, Zhenghong Hao, Shaojun Wang, Jing Xiao

This paper describes the winning system for subtask 2 and the second-placed system for subtask 1 in SemEval 2021 Task 4: ReadingComprehension of Abstract Meaning.

Denoising Language Modelling +1