5 citations · 13 across the 8 of their papers we have counts for
11 papers · 1 filter
A Simple Yet Effective Corpus Construction Framework for Indonesian Grammatical Error Correction
Nankai Lin, Meiyu Zeng, Wentao Huang +3
Currently, the majority of research in grammatical error correction (GEC) is concentrated on universal languages, such as English and Chinese. Many low-resource languages lack acce…
An interpretability framework for Similar case matching
Nankai Lin, Haonan Liu, Jiajun Fang +2
Similar Case Matching (SCM) plays a pivotal role in the legal system by facilitating the efficient identification of similar cases for legal professionals. While previous research…
A BERT-based Unsupervised Grammatical Error Correction Framework
Nankai Lin, Hongbin Zhang, Menglan Shen +3
Grammatical error correction (GEC) is a challenging task of natural language processing techniques. While more attempts are being made in this approach for universal languages like…
Model and Evaluation: Towards Fairness in Multilingual Text Classification
Nankai Lin, Junheng He, Zhenghang Tang +2
Recently, more and more research has focused on addressing bias in text classification models. However, existing research mainly focuses on the fairness of monolingual text classif…
How to choose "Good" Samples for Text Data Augmentation
Xiaotian Lin, Nankai Lin, Yingwen Fu +2
Deep learning-based text classification models need abundant labeled data to obtain competitive performance. Unfortunately, annotating large-size corpus is time-consuming and labor…
An Analysis of the Differences Among Regional Varieties of Chinese in Malay Archipelago
Nankai Lin, Sihui Fu, Hongyan Wu +1
Chinese features prominently in the Chinese communities located in the nations of Malay Archipelago. In these countries, Chinese has undergone the process of adjustment to the loca…