Question-Answer Selection in User to User Marketplace Conversations

نویسندگان

  • Girish Kumar
  • Matthew Henderson
  • Shannon Chan
  • Hoang Nguyen
  • Lucas Ngoo
چکیده

Sellers in user to user marketplaces can be inundated with questions from potential buyers. Answers are often already available in the product description. We collected a dataset of around 590K such questions and answers from conversations in an online marketplace. We propose a question answering system that selects a sentence from the product description using a neural-network ranking model. We explore multiple encoding strategies, with recurrent neural networks and feed-forward attention layers yielding good results. This paper presents a demo to interactively pose buyer questions and visualize the ranking scores of product description sentences from live online listings.

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عنوان ژورنال:
  • CoRR

دوره abs/1802.01766  شماره 

صفحات  -

تاریخ انتشار 2018