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【論文閱讀】Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval
時間 2020-01-22
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2017ACL 論文 做者有來自MSRA的 git chatbot 中利用到多輪對話中上下文信息,答案是檢索獲得的,文章重點在講如何對多輪對話上下文信息進行建模,答案候選抽取不是重點。github 一個示例,好比在下圖中兩個候選中選哪一個?顯然應該是候選1,有上下文信息。 web 模型架構 架構 實現結果 svg 語料: 1. Ubuntu Corpus[1] 2. Douban Conversa
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相關文章
1.
【論文閱讀】Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval
2.
Sequential Match Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Ch
3.
【論文閱讀】 Sequential Matching Network
4.
論文:Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots
5.
論文閱讀TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbot
6.
【ACL2017】Sequential Matching Network
7.
論文閱讀 | A Deep Relevance Matching Model for Ad-hoc Retrieval
8.
論文閱讀:Instance Weighting in Dialogue Systems
9.
論文閱讀A Recurrent Encoder-Decoder Network for Sequential Face Alignment
10.
論文閱讀《Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching》
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