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04/04/2023
An interpretability framework for Similar case matching
Similar Case Matching (SCM) is designed to determine whether two cases a...
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03/30/2023
A BERT-based Unsupervised Grammatical Error Correction Framework
Grammatical error correction (GEC) is a challenging task of natural lang...
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03/28/2023
Model and Evaluation: Towards Fairness in Multilingual Text Classification
Recently, more and more research has focused on addressing bias in text ...
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02/02/2023
How to choose "Good" Samples for Text Data Augmentation
Deep learning-based text classification models need abundant labeled dat...
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12/01/2022
Research on the application of contrastive learning in multi-label text classification
The effective application of contrastive learning technology in natural ...
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10/25/2022
A Chinese Spelling Check Framework Based on Reverse Contrastive Learning
Chinese spelling check is a task to detect and correct spelling mistakes...
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09/10/2022
An Analysis of the Differences Among Regional Varieties of Chinese in Malay Archipelago
Chinese features prominently in the Chinese communities located in the n...
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04/30/2022
A New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction
As a fundamental task in natural language processing, Chinese Grammatica...
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04/06/2022
Yunshan Cup 2020: Overview of the Part-of-Speech Tagging Task for Low-resourced Languages
The Yunshan Cup 2020 track focused on creating a framework for evaluatin...
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04/02/2022
A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity Recognition
Cross-lingual Named Entity Recognition (NER) has recently become a resea...
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04/02/2022
CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis
As an extensive research in the field of Natural language processing (NL...
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12/03/2021
Multilingual Text Classification for Dravidian Languages
As the fourth largest language family in the world, the Dravidian langua...
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11/23/2021
Boosting Neural Machine Translation with Dependency-Scaled Self-Attention Network
The neural machine translation model assumes that syntax knowledge can b...
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10/12/2021
LaoPLM: Pre-trained Language Models for Lao
Trained on the large corpus, pre-trained language models (PLMs) can capt...
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09/03/2021
