Neural temporal relation extraction

Published in Proceedings of the 15th Conference of the European Chapter of the …, 2017, 2017

Recommended citation: Dmitriy Dligach, Timothy A Miller, Chen Lin, Steven Bethard, and Guergana K Savova. 2017. Neural temporal relation extraction. In Proceedings of the 15th Conference of the European Chapter of the …, 2017. https://aclanthology.org/E17-2118.pdf

Abstract:

We experiment with neural architectures for temporal relation extraction and establish a new state-of-the-art for several scenarios. We find that neural models with only tokens as input outperform state-of-the-art hand-engineered feature-based models, that convolutional neural networks outperform LSTM models, and that encoding relation arguments with XML tags outperforms a traditional position-based encoding.