DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference
前言 看了這一篇，做一個筆記，萬一以後又做任務二了 前人的工作(不重要) 模型(*) 按照自己的理解，將其encoding層和inference層。首先明確模型輸入: u = [ u 1 u_1 u1, u 2 u_2 u2…], v = […]裏面的元素都是300維的glove詞向量。 encoding層 先說 「encode u depending on v」： 首先在v上做bilstm，
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相關文章
- 1. Enhanced LSTM for Natural Language Inference
- 2. [ACL2017]Enhanced LSTM for Natural Language Inference
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