https://github.com/desh2608/crnn-relation-classification
Tensorflow implementation of the Convolutional Recurrent Neural Network model with max pooling and attentive pooling, for relation classification on biomedical text.
https://github.com/desh2608/crnn-relation-classification
Last synced: 2 months ago
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Tensorflow implementation of the Convolutional Recurrent Neural Network model with max pooling and attentive pooling, for relation classification on biomedical text.
- Host: GitHub
- URL: https://github.com/desh2608/crnn-relation-classification
- Owner: desh2608
- Created: 2017-04-13T08:34:11.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2017-12-01T14:53:36.000Z (over 7 years ago)
- Last Synced: 2025-03-01T14:05:06.618Z (3 months ago)
- Language: Python
- Size: 12.7 KB
- Stars: 47
- Watchers: 8
- Forks: 31
- Open Issues: 2
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Metadata Files:
- Readme: README.md
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README
# crnn-relation-classification
This is the code for our paper "Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text (Desh Raj, Sunil Kumar Sahu, and Ashish Anand)".
The paper can be found here: http://www.aclweb.org/anthology/K/K17/K17-1032.pdf