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arXiv · 1802.01766

Question-Answer Selection in User to User Marketplace Conversations

Girish Kumar·Matthew Henderson·Shannon Chan·Hoang Nguyen·Lucas Ngoo
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Abstract

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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Girish Kumar, Matthew Henderson, Shannon Chan, Hoang Nguyen, Lucas Ngoo. 2018-02-06. Question-Answer Selection in User to User Marketplace Conversations. https://arxiv.org/abs/1802.01766

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