Dzendzik, Daria, Vogel, Carl ORCID: 0000-0001-8928-8546 and Foster, Jennifer ORCID: 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:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution-Noncommercial 4.0 207kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record