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View Code? Open in Web Editor NEW论文介绍:针对已有模型不能充分提取语义特征,以及单一使用语义或语言学特征来进行预测等不足,使用BERT预训练模型进行句子层面的特征提取。同时阅读了关于多模态以及特征融合的论文,使用LSTM-Attention和CNN进行文档层面特征提取,同时结合Mairesse语言学特征,将多个层面提取的特征融合起来进行分析,最终使用Pytorch进行模型实现。
论文介绍:针对已有模型不能充分提取语义特征,以及单一使用语义或语言学特征来进行预测等不足,使用BERT预训练模型进行句子层面的特征提取。同时阅读了关于多模态以及特征融合的论文,使用LSTM-Attention和CNN进行文档层面特征提取,同时结合Mairesse语言学特征,将多个层面提取的特征融合起来进行分析,最终使用Pytorch进行模型实现。
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