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- Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, Hui Jiang
- 2016
Distributed representation learned with neural networks has recently shown to be effective in modeling natural languages at fine granularities such as words, phrases, and even sentences. Whether and… (More)
- Shumin An, Zhenhua Ling, Lirong Dai
- Asia-Pacific Signal and Information Processing…
- 2017
This paper studies the methods for emotional statistical parametric speech synthesis (SPSS) using recurrent neural networks (RNN) with long short-term memory (LSTM) units. Two modeling approaches,… (More)
- Junbei Zhang, Xiaodan Zhu, +4 authors Hui Jiang
- 3rd IEEE International Conference on Computer and…
- 2017
Neural networks have recently been intensively explored for machine comprehension and question answering. Core to the problems is the involvement of questions and hence the understanding of them —… (More)
- Xiaosha Wang, Wei Wu, +7 authors Yanchao Bi
- Cerebral cortex
- 2018
words constitute nearly half of the human lexicon and are critically associated with human abstract thoughts, yet little is known about how they are represented in the brain. We tested the neural… (More)
- Peixin Chen, Wu Guo, Lirong Dai, Zhenhua Ling
- IEEE International Conference on Acoustics…
- 2018
In recent years, neural networks (NN) have achieved remarkable performance improvement in text classification due to their powerful ability to encode discriminative features by incorporating label… (More)
- Xiaosha Wang, Yangwen Xu, +4 authors Yanchao Bi
- Scientific Reports
- 2018
Access to semantic information of visual word forms is a key component of reading comprehension. In this study, we examined the involvement of the visual word form area (VWFA) in this process by… (More)
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