https://github.com/desh2608/attention_model_clinical_text
This code implements attention network on top of the CNN used in the paper titled "Relation extraction from clinical texts using domain invariant convolutional neural network" which was accepted in BioNLP at ACL-2016, Berlin, Germany
https://github.com/desh2608/attention_model_clinical_text
Last synced: about 2 months ago
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This code implements attention network on top of the CNN used in the paper titled "Relation extraction from clinical texts using domain invariant convolutional neural network" which was accepted in BioNLP at ACL-2016, Berlin, Germany
- Host: GitHub
- URL: https://github.com/desh2608/attention_model_clinical_text
- Owner: desh2608
- Created: 2016-10-08T09:31:48.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2016-10-08T09:41:43.000Z (over 8 years ago)
- Last Synced: 2025-03-25T07:11:22.384Z (2 months ago)
- Language: Python
- Homepage:
- Size: 2.49 MB
- Stars: 13
- Watchers: 1
- Forks: 6
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Attention mechanism on CNNs for relation classification
This code implements attention network on top of the CNN used in the paper titled "Relation extraction from clinical texts using domain invariant convolutional neural network" which was accepted in BioNLP at ACL-2016, Berlin, Germany
Dependencies: Python 2.7, Tensorflow, Numpy, nltk, sklearn