Addressing Complex and Subjective Product-Related Queries with Customer Reviews-www2016-20160505

1、Information

publication:www2016

author:Julian McAuley

2、What

学习商品评论中的信息,对商品的提问,自动给出回答:按照相关程度排序

3、Dataset

Amazon 商品评论,描述,问答

4、How :

input: 1)binary question: review 的label:yes,no,eg:Is this bike a medium? My daughter is 5’8 |“This is a great bike for a tall person.” (yes)

 2)open-ended question:商品query, top-answer,review rank.  “how many hours does it keep hot and cold ?”| It doesn’t, I returned the one I purchased| “Does keep the coffee very hot for several hours.”

output:1) review是某个label的概率及label;2) review 是best answer 的概率

method:Bilinear models,MOQA

5、Evaluation:Accuray@k

详情见ppt.

原文地址:https://www.cnblogs.com/baiting/p/5463549.html