论文研读-Building Chinese Affective Resources in Valence-Arousal Dimensions

时间 2020-01-20

标签论文研读 building chinese affective resources valence arousal dimensions 繁體版

原文原文链接

Building Chinese Affective Resources in Valence-Arousal Dimensionshtml 1、本篇论文要解决的问题网络愈来愈多的研究集中在将情感状态表示为多维度上的连续值，最多见的多维度空间为Aalence-Arousal(VA)空间。与以前的将情感状态分为几类（正面和反面）相比，维度方法能够提供更加细粒度的情感分析。而后带有VA等

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1. Building Chinese Affective Resources in Valence-Arousal Dimensions
2. 论文研读1
3. 论文研读
4. Chinese NER Using Lattice LSTM 论文解读
5. 【论文浅读】《Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery》
6. XLnet论文研读
7. 论文研读Unet++
8. "" is not translated in "zh" (Chinese) less
9. PAT_A1082 | Read Number in Chinese
10. 1082. Read Number in Chinese

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