论文阅读：Extending Neural Generative Conversational Model using External Knowledge Sources
题目很大很好，方法非常简单粗暴，感觉挺水的……这里就总结一下一些值得思考的地方。 关于incorporate external knowledge的系列工作主要集中于task-oriented任务中，主要分为structured KB 和unstructured data两个方面。open-domain用的并不多。看这个paper本来是想看它如何从data中找knowledge的……但是方法异常暴
相关文章
- 1. 【论文阅读】A Neural Conversational Model
- 2. A Neural Conversational Model
- 3. 【论文阅读】Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
- 4. 论文小综 | Using External Knowledge on VQA
- 5. 论文阅读 Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
- 6. [NLP论文阅读]A Neural Knowledge Language Model（一）
- 7. 论文阅读《Edge Detection Using Convolutional Neural Network》
- 8. 【论文阅读】A Neural Probabilistic Language Model
- 9. (27)[ICML15] A Neural Conversational Model
- 10. Incorporating Unstructured Textual Knowledge Sources into Neural
- 更多相关文章...
- • RSS 阅读器 - RSS 教程
- • C# 文本文件的读写 - C#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。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 【论文阅读】A Neural Conversational Model
- 2. A Neural Conversational Model
- 3. 【论文阅读】Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
- 4. 论文小综 | Using External Knowledge on VQA
- 5. 论文阅读 Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
- 6. [NLP论文阅读]A Neural Knowledge Language Model（一）
- 7. 论文阅读《Edge Detection Using Convolutional Neural Network》
- 8. 【论文阅读】A Neural Probabilistic Language Model
- 9. (27)[ICML15] A Neural Conversational Model
- 10. Incorporating Unstructured Textual Knowledge Sources into Neural