Controlled CNN-based Sequence Labeling for Aspect Extraction
Computation and Language
2019-05-31 v2 Machine Learning
Abstract
One key task of fine-grained sentiment analysis on reviews is to extract aspects or features that users have expressed opinions on. This paper focuses on supervised aspect extraction using a modified CNN called controlled CNN (Ctrl). The modified CNN has two types of control modules. Through asynchronous parameter updating, it prevents over-fitting and boosts CNN's performance significantly. This model achieves state-of-the-art results on standard aspect extraction datasets. To the best of our knowledge, this is the first paper to apply control modules to aspect extraction.
Cite
@article{arxiv.1905.06407,
title = {Controlled CNN-based Sequence Labeling for Aspect Extraction},
author = {Lei Shu and Hu Xu and Bing Liu},
journal= {arXiv preprint arXiv:1905.06407},
year = {2019}
}