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A boundary enhanced multi-task neural attention approach for Chinese named entity recognition. [PDF]

Sci Rep
Pan J, Xiao M, Li M, Hu F.
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Urban tourist volume forecasting using internet search trends and deep learning methods. [PDF]

Front Artif Intell
Song C, Wang Z.
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Dynamic ensemble deep learning with multi-source data for robust influenza forecasting in Yangzhou. [PDF]

BMC Public Health
Wang Y, Zhai S, Wu C, Chen B, Zhang W, Li J, Cheng X, Xiao L.   +7 more
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Video multimodal emotion recognition based on Bi-GRU and attention fusion

Multimedia Tools and Applications, 2020
A video multimodal emotion recognition method based on Bi-GRU and attention fusion is proposed in this paper. Bidirectional gated recurrent unit (Bi-GRU) is applied to improve the accuracy of emotion recognition in time contexts. A new network initialization method is proposed and applied to the network model, which can further improve the video ...
Ruohong Huan, Jia Shu, Shenglin Bao, Ronghua Liang, Peng Chen 0008, Kaikai Chi   +5 more
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Speech emotion recognition model based on Bi-GRU and Focal Loss

Pattern Recognition Letters, 2020
Abstract For the problems of inconsistent sample duration and unbalance of sample categories in the speech emotion corpus, this paper proposes a speech emotion recognition model based on Bi-GRU (Bidirection Gated Recurrent Unit) and Focal Loss. The model has been improved on the basis of learning CRNN (Convolutional Recurrent Neural Network) deeply ...
Zijiang Zhu, Weihuang Dai, Yi Hu, Junshan Li   +3 more
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Chinese Word Segmentation Based on Bi-GRU Integrating Dictionary Information

Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition, 2020
Chinese word segmentation (CWS) is an important and essential pre-processing step for Chinese language processing tasks. To date, various models based on deep neural networks have been extensively applied in CWS. Most of them learn from large scale labeled data. However, these models typically lack the capability of processing rare words and OOV words.
Rong Xiang, Shiqun Yin
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A Joint Model for Aspect-Category Sentiment Analysis with TextGCN and Bi-GRU

2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC), 2020
In the age of Internet, online customers express their opinions on products by posting reviews. It is critical to do sentiment analysis on customers’ review data to help subsequent customers make their purchasing decisions and guide companies to improve their products.
Ying Yang, Bin Wu, Lianwei Li, Shuyang Wang   +3 more
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Emotion analysis of microblog based on emotion dictionary and Bi-GRU

2020 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC), 2020
The colloquialism and conciseness of microblog text bring additional challenges to emotion classification. This paper proposes a new emotion classification model based on hybrid learning. In the first stage, the improved dictionary classification method is used to calculate emotion score in the whole data set, and the data with high or low scores are ...
Hao Wang, Dequn Zhao
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Performance Comparisons of Bi-LSTM and Bi-GRU Networks in Chinese Word Segmentation

2021 5th International Conference on Deep Learning Technologies (ICDLT), 2021
The Bi-directional Long Short-Time Memory (Bi-LSTM) neural networks can effectively use contextual information in both directions when comparing with the LSTM neural networks. It is more advantageous to extract text information in the word segmentation process.
Taozheng Zhang, Rui Xu
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Research on Adaptive Cognitive Diagnostic Test Model based on Multilayer Bi-GRUs

2021 5th International Conference on Education and Multimedia Technology (ICEMT), 2021
Considering the deficiencies of the existing cognitive diagnostic models, this study proposed an extraction method of item semantic feature based on BERT. These features, together with Q-matrix, guessing parameter, slipping parameter and participants’ response results were integrated through concat layer and became feature matrix of response sequence ...
Jin Chen, Jianghao Lin, Weilie Lu, Xinguang Li   +3 more
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