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.
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