论文标题
使用LVT和FRE进行变压器模型的实验
Experiments with LVT and FRE for Transformer model
论文作者
论文摘要
在本文中，我们尝试了大型词汇技巧和适用于变压器模型的特征编码，以进行文本摘要。与基于RNN的序列到序列模型相比，我们无法取得更好的结果，因此我们尝试了更多模型来找出改善结果和变质的模型。
In this paper, we experiment with Large Vocabulary Trick and Feature-rich encoding applied to the Transformer model for Text Summarization. We could not achieve better results, than the analogous RNN-based sequence-to-sequence model, so we tried more models to find out, what improves the results and what deteriorates them.
