Han Zhou


pdf bib
PingAnTech at SMM4H task1: Multiple pre-trained model approaches for Adverse Drug Reactions
Xi Liu | Han Zhou | Chang Su
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task

This paper describes the solution for the Social Media Mining for Health (SMM4H) 2022 Shared Task. We participated in Task1a., Task1b. and Task1c. To solve the problem of the presence of Twitter data, we used a pre-trained language model. We used training strategies that involved: adversarial training, head layer weighted fusion, etc., to improve the performance of the model. The experimental results show the effectiveness of our designed system. For task 1a, the system achieved an F1 score of 0.68; for task 1b Overlapping F1 score of 0.65 and a Strict F1 score of 0.49. Task 1c yields Overlapping F1 and Strict F1 scores of 0.36 and 0.30, respectively.


pdf bib
Incorporating Global Information in Local Attention for Knowledge Representation Learning
Yu Zhao | Han Zhou | Ruobing Xie | Fuzhen Zhuang | Qing Li | Ji Liu
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021