no code implementations • 4 Apr 2023 • Nankai Lin, Haonan Liu, Jiajun Fang, Dong Zhou, Aimin Yang
Subsequently, our framework aligns the corresponding sentences in two legal cases to provide evidence of similarity.
no code implementations • 30 Mar 2023 • Nankai Lin, Hongbin Zhang, Menglan Shen, Yu Wang, Shengyi Jiang, Aimin Yang
Grammatical error correction (GEC) is a challenging task of natural language processing techniques.
no code implementations • 28 Mar 2023 • Nankai Lin, Junheng He, Zhenghang Tang, Dong Zhou, Aimin Yang
The multilingual text representation module uses a multilingual pre-trained language model to represent the text, the language fusion module makes the semantic spaces of different languages tend to be consistent through contrastive learning, and the text debiasing module uses contrastive learning to make the model unable to identify sensitive attributes' information.
no code implementations • 1 Dec 2022 • Nankai Lin, Guanqiu Qin, Jigang Wang, Aimin Yang, Dong Zhou
We explore the effectiveness of contrastive learning for multi-label text classification tasks by the employment of these novel losses and provide a set of baseline models for deploying contrastive learning techniques on specific tasks.
no code implementations • 25 Oct 2022 • Nankai Lin, Hongyan Wu, Sihui Fu, Shengyi Jiang, Aimin Yang
Inspired by contrastive learning, we present a novel framework for Chinese spelling checking, which consists of three modules: language representation, spelling check and reverse contrastive learning.
1 code implementation • 2 Apr 2022 • Nankai Lin, Yingwen Fu, Xiaotian Lin, Aimin Yang, Shengyi Jiang
In the distillation XABSA task, we further explore the comparative effectiveness of different data (source dataset, translated dataset, and code-switched dataset).
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2