Search Results - "Silamu, Wushour"

Knowledge-enhanced prototypical network with class cluster loss for few-shot relation classification by Liu, Tao, Ke, Zunwang, Li, Yanbing, Silamu, Wushour

“…Few-shot Relation Classification identifies the relation between target entity pairs in unstructured natural language texts by training on a small number of…”
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Rumor detection based on Attention Graph Adversarial Dual Contrast Learning by Zhang, Bing, Liu, Tao, Ke, Zunwang, Li, Yanbing, Silamu, Wushour

“…It is becoming harder to tell rumors from non-rumors as social media becomes a key news source, which invites malicious manipulation that could do harm to the…”
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Display-Semantic Transformer for Scene Text Recognition by Yang, Xinqi, Silamu, Wushour, Xu, Miaomiao, Li, Yanbing

“…Linguistic knowledge helps a lot in scene text recognition by providing semantic information to refine the character sequence. The visual model only focuses on…”
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A Robust Method: Arbitrary Shape Text Detection Combining Semantic and Position Information by Wang, Zhenchao, Silamu, Wushour, Li, Yuze, Xu, Miaomiao

“…There is a growing interest in scene text detection for arbitrary shapes. The effectiveness of text detection has also evolved from horizontal text detection…”
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Attention-Based Scene Text Detection on Dual Feature Fusion by Li, Yuze, Silamu, Wushour, Wang, Zhenchao, Xu, Miaomiao

“…The segmentation-based scene text detection algorithm has advantages in scene text detection scenarios with arbitrary shape and extreme aspect ratio, depending…”
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Scene Uyghur Recognition Based on Visual Prediction Enhancement by Liu, Yaqi, Kong, Fanjie, Xu, Miaomiao, Silamu, Wushour, Li, Yanbing

“…Aiming at the problems of Uyghur oblique deformation, character adhesion and character similarity in scene images, this paper proposes a scene Uyghur…”
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Traffic Accident Prediction Based on LSTM-GBRT Model by Zhang, Zhihao, Wushour, Silamu, Yang, Wenzhong

“…Road traffic accidents are a concrete manifestation of road traffic safety levels. The current traffic accident prediction has a problem of low accuracy. In…”
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Low-Resource Named Entity Recognition via the Pre-Training Model by Chen, Siqi, Pei, Yijie, Ke, Zunwang, Silamu, Wushour

“…Named entity recognition (NER) is an important task in the processing of natural language, which needs to determine entity boundaries and classify them into…”
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Knowledge-Guided Sentiment Analysis via Learning From Natural Language Explanations by Ke, Zunwang, Sheng, Jiabao, Li, Zhe, Silamu, Wushour, Guo, Qinglang

“…Sentiment analysis is crucial for studying public opinion since it can provide us with valuable information. Existing sentiment analysis methods rely on…”
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Collaborative Encoding Method for Scene Text Recognition in Low Linguistic Resources: The Uyghur Language Case Study by Xu, Miaomiao, Zhang, Jiang, Xu, Lianghui, Silamu, Wushour, Li, Yanbing

“…Current research on scene text recognition primarily focuses on languages with abundant linguistic resources, such as English and Chinese. In contrast, there…”
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AB-LaBSE: Uyghur Sentiment Analysis via the Pre-Training Model with BiLSTM by Pei, Yijie, Chen, Siqi, Ke, Zunwang, Silamu, Wushour, Guo, Qinglang

“…In recent years, more and more attention has been paid to text sentiment analysis, which has gradually become a research hotspot in information extraction,…”
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On Hierarchical Text Language-Identification Algorithms by Hasimu, Maimaitiyiming, Silamu, Wushour

“…Text on the Internet is written in different languages and scripts that can be divided into different language groups. Most of the errors in language…”
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Rumor Detection on Social Media via Fused Semantic Information and a Propagation Heterogeneous Graph by Ke, Zunwang, Li, Zhe, Zhou, Chenzhi, Sheng, Jiabao, Silamu, Wushour, Guo, Qinglang

“…Social media had a revolutionary impact because it provides an ideal platform for share information; however, it also leads to the publication and spreading of…”
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An Empirical Study on Deep Neural Network Models for Chinese Dialogue Generation by Li, Zhe, Maimaiti, Mieradilijiang, Sheng, Jiabao, Ke, Zunwang, Silamu, Wushour, Wang, Qinyong, Li, Xiuhong

“…The task of dialogue generation has attracted increasing attention due to its diverse downstream applications, such as question-answering systems and chatbots…”
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Development of Industrial Internet Security Technology in China by Dong, Yue, Wang, Zhiqin, Tian, Huirong, Li, Shan, Qin, Guoying, Wushour, Silamu

“…As the new-generation information technology, such as cloud computing and big data, integrates in depth with traditionalindustrial operation technologies, the…”
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CLIP-Llama: A New Approach for Scene Text Recognition with a Pre-Trained Vision-Language Model and a Pre-Trained Language Model by Zhao, Xiaoqing, Xu, Miaomiao, Silamu, Wushour, Li, Yanbing

“…This study focuses on Scene Text Recognition (STR), which plays a crucial role in various applications of artificial intelligence such as image retrieval,…”
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Knowledge-aware image understanding with multi-level visual representation enhancement for visual question answering by Yan, Feng, Li, Zhe, Silamu, Wushour, Li, Yanbing

“…Existing visual question answering (VQA) methods tend to focus excessively on visual objects in images, neglecting the understanding of implicit knowledge…”
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The Design of a Script Identification Algorithm and Its Application in Constructing a Text Language Identification Dataset by Qasim, Mamtimin, Silamu, Wushour, Qiu, Minghui

“…Script identification is easier to implement than language identification, and its identification rate is very high. The fewer languages are identified when…”
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Rumor detection based on Attention Graph Adversarial Dual Contrast Learning by Bing Zhang, Tao Liu, Zunwang Ke, Yanbing Li, Wushour Silamu

“…It is becoming harder to tell rumors from non-rumors as social media becomes a key news source, which invites malicious manipulation that could do harm to the…”
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Unsupervised word Segmentation Based on Word Influence by Yan, Ruohao, Zhang, Huaping, Silamu, Wushour, Hamdulla, Askar

“…Word segmentation task is the cornerstone of text processing. There are 7111 languages worldwide, most of which are low-resource languages. This paper attempts…”
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