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