申请试用
HOT
登录
注册
 
Memory Neworks

Memory Neworks

Reboot
/
发布于
/
1713
人观看
We describe a new class of learning models called memory networks. Memory networks reason with inference components combined with a long-term memory component; they learn how to use these jointly. The long-term memory can be read and written to, with the goal of using it for prediction. We investigate these models in the context of question answering (QA) where the long-term memory effectively acts as a (dynamic) knowledge base, and the output is a textual response. We evaluate them on a large-scale QA task, and a smaller, but more complex, toy task generated from a simulated world. In the latter, we show the reasoning power of such models by chaining multiple supporting sentences to answer questions that require understanding the intension of verbs
7 点赞
3 收藏
0下载
相关文档
确认
3秒后跳转登录页面
去登陆