Search Results - "Lin, Nankai"

Alexithymia is associated with insomnia in Chinese patients with schizophrenia by Cai, Fangfang, Jiang, Huixia, Tong, Siyu, Zhou, Siyao, Wang, Mengpu, Sun, Shiyu, Liu, Jie, Xu, Yao, Lin, Nankai, Dai, Jiajing, Wang, Xinyao, Wang, Wei, Zhao, Ke, Wu, Xixi

“…Sleep disorders are prevalent among patients with schizophrenia and are associated with several negative consequences. Although, researchers have recently…”
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A simple but effective method for Indonesian automatic text summarisation by Lin, Nankai, Li, Jinxian, Jiang, Shengyi

“…Automatic text summarisation (ATS) (therein two main approaches-abstractive summarisation and extractive summarisation are involved) is an automatic procedure…”
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Multi-label emotion classification based on adversarial multi-task learning by Lin, Nankai, Fu, Sihui, Lin, Xiaotian, Wang, Lianxi

“…In this paper, we focus on the task of multi-label emotion classification and aim to tackle two problems of this task. First, few studies try to exploit the…”
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A Chinese Grammatical Error Correction Model Based On Grammatical Generalization And Parameter Sharing by Lin, Nankai, Lin, Xiaotian, Fu, Yingwen, Jiang, Shengyi, Wang, Lianxi

“…Abstract Chinese grammatical error correction (CGEC) is a significant challenge in Chinese natural language processing. Deep-learning-based models tend to have…”
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Addressing class-imbalance challenges in cross-lingual aspect-based sentiment analysis: Dynamic weighted loss and anti-decoupling by Lin, Nankai, Zeng, Meiyu, Liao, Xingming, Liu, Weizhong, Yang, Aimin, Zhou, Dong

“…Numerous attempts have been made to address Aspect-based Sentiment Analysis (ABSA), with a predominant emphasis on English texts. Tackling ABSA in low-resource…”
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Global information enhancement and subgraph-level weakly contrastive learning for lightweight weakly supervised document-level event extraction by Qin, Guanqiu, Lin, Nankai, Shen, Menglan, Bai, Qifeng, Zhou, Dong, Yang, Aimin

“…Document-level event extraction (DEE) is a branch of information extraction task that is valuable but difficult at present. To effectively implement DEE,…”
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Towards fair decision: A novel representation method for debiasing pre-trained models by He, Junheng, Lin, Nankai, Bai, Qifeng, Liang, Haoyu, Zhou, Dong, Yang, Aimin

“…Pretrained language models (PLMs) are frequently employed in Decision Support Systems (DSSs) due to their strong performance. However, recent studies have…”
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Towards Malay named entity recognition: an open-source dataset and a multi-task framework by Fu, Yingwen, Lin, Nankai, Yang, Zhihe, Jiang, Shengyi

“…Named entity recognition (NER) is a key component of many natural language processing (NLP) applications. The majority of advanced research, however, has not…”
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Topology optimization based on improved DoubleU-Net using four boundary condition datasets by Li, Shun, Zeng, PeiJian, Lin, Nankai, Lu, Maohua, Lin, Jianghao, Yang, Aimin

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Cross-Lingual Named Entity Recognition for Heterogenous Languages by Fu, Yingwen, Lin, Nankai, Chen, Boyu, Yang, Ziyu, Jiang, Shengyi

“…Previous works on cross-lingual Named Entity Recognition (NER) have achieved great success. However, few of them consider the effect of language families…”
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Self-Training With Double Selectors for Low-Resource Named Entity Recognition by Fu, Yingwen, Lin, Nankai, Yu, Xiaohui, Jiang, Shengyi

“…Named Entity Recognition (NER) is fundamental to multiple downstream natural language processing (NLP) tasks, but most advanced NER methods heavily rely on…”
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CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis by Lin, Nankai, Fu, Yingwen, Lin, Xiaotian, Zhou, Dong, Yang, Aimin, Jiang, Shengyi

“…Aspect-based sentiment analysis (ABSA), an extensively researched area in the field of natural language processing (NLP), predicts the sentiment expressed in a…”
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Exploring Chinese lexical differences based on synergetic-linguistic model by Lin, Nankai, Zhu, Yiying, Jiang, Shengyi, Cai, Xiaonan, Zhang, Yusha

“…Abstract At the stage of current studies, the synergetic-linguistic model is mainly used for the validation of individual languages, lacking application to the…”
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Unsupervised Character Embedding Correction and Candidate Word Denoising by Zheng, Kengtao, Lin, Nankai, Shengyi, Jiang

“…Inthis paper, we take Indonesian as the research object, and propose a multiple filter correction framework (MFCF). The main idea of MFCF is to remove noise…”
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GPF: Generative Prediction Fusion for Multi-Label Emotion Classification by Huang, Shiqiao, Zhang, Weiwen, Lin, Nankai, Xu, Mianshen

“…Multi-label Emotion Classification (MEC) is a fundamental and challenging task in natural language processing. The MEC task aims to recognize at least an…”
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A Vision Enhanced Framework for Indonesian Multimodal Abstractive Text-Image Summarization by Song, Yutao, Lin, Nankai, Li, Lingbao, Jiang, Shengyi

“…Multimodal abstractive summarization (MAS) is a technique that generates a brief summary by processing input text and images. While preceding investigations on…”
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Exploring Bias Evaluation Techniques for Quantifying Large Language Model Biases by He, Junheng, Lin, Nankai, Shen, Menglan, Zhou, Dong, Yang, Aimin

“…In recent years, there has been a surge in the adoption of large language models (LLMs) such as "ChatG PT" trained by OpenAI. These models have gained…”
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A Prompt Learning-Based Framework for Similar Case Matching by Fan, Changyong, Lin, Nankai, Yang, Aimin, Zhou, Yongmei, Zhou, Dong

“…Similar Case Matching (SCM) is a vital component of legal retrieval and plays a crucial role in intelligent legal systems. This task endeavors to ascertain the…”
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Prompt Learning for Low-Resource Multi-Domain Fake News Detection by Peng, Zitao, Lin, Nankai, Zhou, Yongmei, Zhou, Dong, Yang, Aimin

“…The spread of fake news has caused severe damage to people's lives and society nowadays. Social media is inundated with fake news from multiple domains…”
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Quantitative Research on the Differences of Indonesian News Texts by Xiao, Lixian, Lin, Nankai, Jiang, Shengyi

“…Indonesian, which is a relatively young language, is developed from the ancient Malay language. Studying differences of Indonesian news texts is meaningful for…”
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