(33)[ICLR16] TOWARDS AI-COMPLETE QUESTION ANSWERING: A SET OF PREREQUISITE TOY TASKS
计划完成深度学习入门的126篇论文第三十三篇，FAIR的Tomas Mikolov领导发表的人机问答的论文。 ABSTRACT 机器学习研究的一个长期目标是产生适用于推理和天然语言的方法，特别是创建一个智能对话代理。为了衡量这一目标的进展，咱们主张使用一组代理任务，经过回答问题来评估阅读理解。咱们的任务从几个方面来衡量理解:系统是否可以经过连接事实、简单的概括、推理等回答问题。这些任务被设计为任何
相关文章
- 1. (33)[ICLR16] TOWARDS AI-COMPLETE QUESTION ANSWERING: A SET OF PREREQUISITE TOY TASKS
- 2. 【cs224n-7】Question Answering
- 3. nips 208 visual question answering 导读
- 4. Knowledge Base Question Answering via Encodin of Complex Query Graphs
- 5. COMMONSENSEQA: A Question Answering Challenge Targeting Commonsense Knowledge
- 6. 论文-《Visual Question Answering A tutorial》笔记
- 7. Sentiment Classification towards Question-Answering with Hierarchical Matching Network 论文阅读笔记
- 8. Question Answering with Subgraph Embeddings笔记
- 9. 论文-《Visual Question Answering A tutorial》重点翻译+扩展
- 10. 《Visual Question Generation as Dual Task of Visual Question Answering》阅读笔记
- 更多相关文章...
- • Scala Set(集合) - Scala教程
- • XSLT
- • 为了进字节跳动，我精选了29道Java经典算法题，带详细讲解
- • Kotlin学习（二）基本类型
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. (33)[ICLR16] TOWARDS AI-COMPLETE QUESTION ANSWERING: A SET OF PREREQUISITE TOY TASKS
- 2. 【cs224n-7】Question Answering
- 3. nips 208 visual question answering 导读
- 4. Knowledge Base Question Answering via Encodin of Complex Query Graphs
- 5. COMMONSENSEQA: A Question Answering Challenge Targeting Commonsense Knowledge
- 6. 论文-《Visual Question Answering A tutorial》笔记
- 7. Sentiment Classification towards Question-Answering with Hierarchical Matching Network 论文阅读笔记
- 8. Question Answering with Subgraph Embeddings笔记
- 9. 论文-《Visual Question Answering A tutorial》重点翻译+扩展
- 10. 《Visual Question Generation as Dual Task of Visual Question Answering》阅读笔记