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20202025
most citedA Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity Recognition

5 citations · 11 across the 7 of their papers we have counts for

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9 papers · 1 filter

cs.CL2025

CLASS: Enhancing Cross-Modal Text-Molecule Retrieval Performance and Training Efficiency

Hongyan Wu, Peijian Zeng, Weixiong Zheng +4

Cross-modal text-molecule retrieval task bridges molecule structures and natural language descriptions. Existing methods predominantly focus on aligning text modality and molecule…

cs.CL2024

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…

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.CL20221 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.CL20225 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…