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MilkQA: a Dataset of Consumer Questions for the Task of Answer Selection by Criscuolo, Marcelo; Fonseca, Erick Rocha; Aluísio, Sandra Maria; Sperança-Criscuolo, Ana Carolina is a scholarly article available to read on EtoBox.

What is MilkQA: a Dataset of Consumer Questions for the Task of Answer Selection about?

We introduce MilkQA, a question answering dataset from the dairy domain dedicated to the study of consumer questions. The dataset contains 2,657 pairs of questions and answers, written in the Portuguese language and originally collected by the Brazilian Agricultural Research Corporation (Embrapa). All questions were motivated by real situations and written by thousands of authors with very different backgrounds and levels of literacy, while answers were elaborated by specialists from Embrapa's customer service. Our dataset was filtered and anonymized by three human annotators. Consumer questions are a challenging kind of question that is usually employed as a form of seeking information. Although several question answering datasets are available, most of such resources are not suitable for research on answer selection models for consumer questions. We aim to fill this gap by making MilkQA publicly available. We study the behavior of four answer selection models on MilkQA: two baseline models and two convolutional neural network archictetures. Our results show that MilkQA poses real challenges to computational models, particularly due to linguistic characteristics of its questions a

Author

Criscuolo, Marcelo; Fonseca, Erick Rocha; Aluísio, Sandra Maria; Sperança-Criscuolo, Ana Carolina

Published

2018

Language

EN