论文：Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots
论文连接：https://arxiv.org/abs/1805.02333app 本文提出了一种用seq2seq给每一个（context， response）pair打分，并把这个分数做为“soft” margin 用linear svm loss来进行训练的方法，有针对性地解决了当前训练检索式对话系统的matching model，在训练时sample negative responses的时候
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相关文章
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