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Text Semantic Classification of Long Discourses Based on Neural Networks with Improved Focal Loss
Semantic classification of Chinese long discourses is an important and challenging task. Discourse text is high-dimensional and sparse. Furthermore, when the number of classes of dataset is large, the data distribution will be seriously imbalanced. In solving these problems, we propose a novel end-t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810536/ https://www.ncbi.nlm.nih.gov/pubmed/33505454 http://dx.doi.org/10.1155/2021/8845362 |