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ACL
2015

Event Detection and Domain Adaptation with Convolutional Neural Networks

3 years 10 months ago
Event Detection and Domain Adaptation with Convolutional Neural Networks
We study the event detection problem using convolutional neural networks (CNNs) that overcome the two fundamental limitations of the traditional feature-based approaches to this task: complicated feature engineering for rich feature sets and error propagation from the preceding stages which generate these features. The experimental results show that the CNNs outperform the best reported feature-based systems in the general setting as well as the domain adaptation setting without resorting to extensive external resources.
Thien Huu Nguyen, Ralph Grishman
Added 13 Apr 2016
Updated 13 Apr 2016
Type Journal
Year 2015
Where ACL
Authors Thien Huu Nguyen, Ralph Grishman
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