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20212026
most citedAn Effective Deployment of Contrastive Learning in Multi-label Text Classification

7 citations · 27 across the 15 of their papers we have counts for

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cs.CL2022★ 7 cited

An Effective Deployment of Contrastive Learning in Multi-label Text Classification

Nankai Lin, Guanqiu Qin, Jigang Wang +2

The effectiveness of contrastive learning technology in natural language processing tasks is yet to be explored and analyzed. How to construct positive and negative samples correct…

cs.CL2022★ 2 cited

A Chinese Spelling Check Framework Based on Reverse Contrastive Learning

Nankai Lin, Hongyan Wu, Sihui Fu +2

Chinese spelling check is a task to detect and correct spelling mistakes in Chinese text. Existing research aims to enhance the text representation and use multi-source information…

cs.CL2022

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…

cs.CL2022

A New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction

Nankai Lin, Xiaotian Lin, Ziyu Yang +1

As a fundamental task in natural language processing, Chinese Grammatical Error Correction (CGEC) has gradually received widespread attention and become a research hotspot. However…

cs.CL2022★ 1 cited

Yunshan Cup 2020: Overview of the Part-of-Speech Tagging Task for Low-resourced Languages

Yingwen Fu, Jinyi Chen, Nankai Lin +3

The Yunshan Cup 2020 track focused on creating a framework for evaluating different methods of part-of-speech (POS). There were two tasks for this track: (1) POS tagging for the In…

cs.CL2022★ 5 cited

A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity Recognition

Yingwen Fu, Nankai Lin, Ziyu Yang +1

Cross-lingual Named Entity Recognition (NER) has recently become a research hotspot because it can alleviate the data-hungry problem for low-resource languages. However, few resear…

cs.CL2022★ 1 cited

CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis

Nankai Lin, Yingwen Fu, Xiaotian Lin +2

As an extensive research in the field of natural language processing (NLP), aspect-based sentiment analysis (ABSA) is the task of predicting the sentiment expressed in a text relat…