Identifying Usage Expression Sentences in Consumer Product Reviews

Shibamouli Lahiri, V.G.Vinod Vydiswaran, Rada Mihalcea


Abstract
In this paper we introduce the problem of identifying usage expression sentences in a consumer product review. We create a human-annotated gold standard dataset of 565 reviews spanning five distinct product categories. Our dataset consists of more than 3,000 annotated sentences. We further introduce a classification system to label sentences according to whether or not they describe some “usage”. The system combines lexical, syntactic, and semantic features in a product-agnostic fashion to yield good classification performance. We show the effectiveness of our approach using importance ranking of features, error analysis, and cross-product classification experiments.
Anthology ID:
I17-1040
Volume:
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Month:
November
Year:
2017
Address:
Taipei, Taiwan
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
394–403
Language:
URL:
https://aclanthology.org/I17-1040
DOI:
Bibkey:
Cite (ACL):
Shibamouli Lahiri, V.G.Vinod Vydiswaran, and Rada Mihalcea. 2017. Identifying Usage Expression Sentences in Consumer Product Reviews. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 394–403, Taipei, Taiwan. Asian Federation of Natural Language Processing.
Cite (Informal):
Identifying Usage Expression Sentences in Consumer Product Reviews (Lahiri et al., IJCNLP 2017)
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PDF:
https://aclanthology.org/I17-1040.pdf