Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Is it Dish Washer Safe? Automatically Answering “Yes/No” Questions using Customer Reviews

Dzendzik, Daria, Vogel, Carl orcid logoORCID: 0000-0001-8928-8546 and Foster, Jennifer orcid logoORCID: 0000-0002-7789-4853 (2019) Is it Dish Washer Safe? Automatically Answering “Yes/No” Questions using Customer Reviews. In: 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, 3 - 5 June 2019, Minneapolis, US. ISBN 978-1-950737-15-4

Abstract
It has become commonplace for people to share their opinions about all kinds of products by posting reviews online. It has also become commonplace for potential customers to do research about the quality and limitations of these products by posting questions online. We test the extent to which reviews are useful in question-answering by combining two Amazon datasets, and focusing our attention on yes/no questions. A manual analysis of 400 cases reveals that the reviews directly contain the answer to the question just over a third of the time. Preliminary reading comprehension experiments with this dataset prove inconclusive, with accuracy in the range 50-66%.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Question Answering
Subjects:Computer Science > Artificial intelligence
Computer Science > Computational linguistics
Computer Science > Machine learning
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Published in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop. . Association for Computational Linguistics. ISBN 978-1-950737-15-4
Publisher:Association for Computational Linguistics
Official URL:https://aclanthology.org/N19-3001.pdf
Funders:Science Foundation Ireland
ID Code:30192
Deposited On:01 Aug 2024 14:23 by Jennifer Foster . Last Modified 01 Aug 2024 14:23
Documents

Full text available as:

[thumbnail of N19-3001.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution-Noncommercial 4.0
207kB
Metrics

Altmetric Badge

Dimensions Badge

Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record