Is It Dish Washer Safe? Automatically Answering "Yes/No'' Questions Using Customer Reviews
Citation:
Dzendzik, D., Vogel, C., Foster, J., Is It Dish Washer Safe? Automatically Answering "Yes/No'' Questions Using Customer Reviews, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, Minneapolis, Minnesota, 2019, 1-6Download Item:
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%.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
13/RC/2106
Author's Homepage:
http://people.tcd.ie/vogel
Author: Vogel, Carl
Sponsor:
Science Foundation Ireland (SFI)Other Titles:
2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research WorkshopType of material:
Conference PaperCollections
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Full text availableSubject (TCD):
Digital Engagement , Computational Linguistics , Computational linguistics , MACHINE LEARNING , Machine Learning in Mulitmedia Information Retrieval , computational linguistics , signal processing and machine learningDOI:
https://doi.org/10.18653/v1/N19-3001Metadata
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