@InProceedings{lahiri-vydiswaran-mihalcea:2017:I17-1,
  author    = {Lahiri, Shibamouli  and  Vydiswaran, V.G.Vinod  and  Mihalcea, Rada},
  title     = {Identifying Usage Expression Sentences in Consumer Product Reviews},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {394--403},
  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.},
  url       = {http://www.aclweb.org/anthology/I17-1040}
}