@inproceedings{d14d2115c76048e28862974c401d77c4,
title = "Negation scope detection with recurrent neural networks models in review texts",
abstract = "Identifying negation scopes in a text is an important subtask of information extraction, that can benefit other natural language processing tasks, like relation extraction, question answering and sentiment analysis. And serves the task of social media text understanding. The task of negation scope detection can be regarded as a token-level sequence labeling problem. In this paper, we propose different models based on recurrent neural networks (RNNs) and word embedding that can be successfully applied to such tasks without any task-specific feature engineering efforts. Our experimental results show that RNNs, without using any hand-crafted features, outperform feature-rich CRF-based model.",
keywords = "Natural language processing, Negation scope detection, Recurrent neural networks",
author = "Lydia Lazib and Yanyan Zhao and Bing Qin and Ting Liu",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 2nd International Conference on Young Computer Scientists, Engineers and Educators, ICYCSEE 2016 ; Conference date: 20-08-2016 Through 22-08-2016",
year = "2016",
doi = "10.1007/978-981-10-2053-7\_44",
language = "英语",
isbn = "9789811020520",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "494--508",
editor = "Wanxiang Che and Hongzhi Wang and Shaoliang Peng and Weipeng Jing and Guanglu Sun and Xianhua Song and Zeguang Lu and Qilong Han and Junyu Lin and Hongtao Song",
booktitle = "Social Computing - 2nd International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Proceedings",
address = "德国",
}