Paper: Joint Opinion Relation Detection Using One-Class Deep Neural Network

ACL ID C14-1064
Title Joint Opinion Relation Detection Using One-Class Deep Neural Network
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

Detecting opinion relation is a crucial step for fine-gained opinion summarization. A valid opin- ion relation has three requirements: a correct opinion word, a correct opinion target and the linking relation between them. Previous works prone to only verifying two of these requirements for opinion extraction, while leave the other requirement unverified. This could inevitably intro- duce noise terms. To tackle this problem, this paper proposes a joint approach, where all three requirements are simultaneously verified by a deep neural network in a classification scenario. Some seeds are provided as positive labeled data for the classifier. However, negative labeled data are hard to acquire for this task. We consequently introduce one-class classification problem and develop a One-Class Dee...