activity
20202022
most citedAn Open-Source Dataset and A Multi-Task Model for Malay Named Entity Recognition

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

collaborators

7 papers

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…

cs.CL2021

LaoPLM: Pre-trained Language Models for Lao

Nankai Lin, Yingwen Fu, Chuwei Chen +2

Trained on the large corpus, pre-trained language models (PLMs) can capture different levels of concepts in context and hence generate universal language representations. They can…

cs.CL20215 cited

An Open-Source Dataset and A Multi-Task Model for Malay Named Entity Recognition

Yingwen Fu, Nankai Lin, Zhihe Yang +1

Named entity recognition (NER) is a fundamental task of natural language processing (NLP). However, most state-of-the-art research is mainly oriented to high-resource languages suc…