【論文閱讀】Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval
2017ACL 論文 作者有來自MSRA的 chatbot 中利用到多輪對話中上下文信息，答案是檢索得到的，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。 一個示例，比如在下圖中兩個候選中選哪個？顯然應該是候選1，有上下文信息。 模型架構 實現結果 語料： 1. Ubuntu Corpus[1] 2. Douban Conversation Corpus 文章的語料與源碼 g
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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》