【论文阅读】Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval
2017ACL 论文 作者有来自MSRA的 chatbot 中利用到多轮对话中上下文信息，答案是检索得到的，文章重点在讲如何对多轮对话上下文信息进行建模，答案候选抽取不是重点。 一个示例，比如在下图中两个候选中选哪个？显然应该是候选1，有上下文信息。 模型架构 实现结果 语料： 1. Ubuntu Corpus[1] 2. Douban Conversation Corpus 文章的语料与源码 g
相关文章
- 1. 【论文阅读】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. 【论文阅读】 Sequential Matching Network
- 4. 论文：Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots
- 5. 论文阅读TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbot
- 6. 【ACL2017】Sequential Matching Network
- 7. 论文阅读 | A Deep Relevance Matching Model for Ad-hoc Retrieval
- 8. 论文阅读：Instance Weighting in Dialogue Systems
- 9. 论文阅读A Recurrent Encoder-Decoder Network for Sequential Face Alignment
- 10. 论文阅读《Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching》
- 更多相关文章...
- • RSS 阅读器 - RSS 教程
- • Swift for-in 循环 - Swift 教程
- • JDK13 GA发布：5大特性解读
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 【论文阅读】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. 【论文阅读】 Sequential Matching Network
- 4. 论文：Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots
- 5. 论文阅读TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbot
- 6. 【ACL2017】Sequential Matching Network
- 7. 论文阅读 | A Deep Relevance Matching Model for Ad-hoc Retrieval
- 8. 论文阅读：Instance Weighting in Dialogue Systems
- 9. 论文阅读A Recurrent Encoder-Decoder Network for Sequential Face Alignment
- 10. 论文阅读《Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching》