@inproceedings{4447f461d1bd49b9aa8ae4cf5f559a24,
title = "A two-stage approach for extending event detection to new types via neural networks",
abstract = "We study the event detection problem in the new type extension setting. In particular, our task involves identifying the event instances of a target type that is only specified by a small set of seed instances in text. We want to exploit the large amount of training data available for the other event types to improve the performance of this task. We compare the convolutional neural network model and the feature-based method in this type extension setting to investigate their effectiveness. In addition, we propose a two-stage training algorithm for neural networks that effectively transfers knowledge from the other event types to the target type. The experimental results show that the proposed algorithm outperforms strong baselines for this task.",
author = "Nguyen, {Thien Huu} and Lisheng Fu and Kyunghyun Cho and Ralph Grishman",
note = "Publisher Copyright: {\textcopyright} 2016 Proceedings of the Annual Meeting of the Association for Computational Linguistics. All Rights Reserved.; 1st Workshop on Representation Learning for NLP, Rep4NLP 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 ; Conference date: 11-08-2016",
year = "2016",
language = "English (US)",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "158--165",
editor = "Phil Blunsom and Kyunghyun Cho and Shay Cohen and Edward Grefenstette and Hermann, {Karl Moritz} and Laura Rimell and Jason Weston and Yih, {Scott Wen-Tau}",
booktitle = "Proceedings of the 1st Workshop on Representation Learning for NLP, Rep4NLP 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016",
}