@inproceedings{560f171a42e94b01afbcd6746719b31d,
title = "Large-scale opinion relation extraction with distantly supervised neural network",
abstract = "We investigate the task of open domain opinion relation extraction. Given a large number of unlabelled texts, we propose an efficient distantly supervised framework based on pattern matching and neural network classifiers. The patterns are designed to automatically generate training data, and the deep learning model is designed to capture various lexical and syntactic features. The result algorithm is fast and scalable on large-scale corpus. We test the system on the Amazon online review dataset, and show that the proposed model is able to achieve promising performances without any human annotations.",
author = "Changzhi Sun and Yuanbin Wu and Man Lan and Shiliang Sun and Qi Zhang",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computational Linguistics.; 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 ; Conference date: 03-04-2017 Through 07-04-2017",
year = "2017",
doi = "10.18653/v1/e17-1097",
language = "英语",
series = "15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "1033--1043",
booktitle = "Long Papers",
address = "澳大利亚",
}