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supervised-oie
Code for training a supervised Neural Open IE model, as described in our NAACL2018 paper.
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Citing If you use this software, please cite:
@InProceedings{Stanovsky2018NAACL,
author = {Gabriel Stanovsky and Julian Michael and Luke Zettlemoyer and Ido Dagan},
title = {Supervised Open Information Extraction},
booktitle = {Proceedings of The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT)},
month = {June},
year = {2018},
address = {New Orleans, Louisiana},
publisher = {Association for Computational Linguistics},
pages = {(to appear)},
}
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Quickstart - Install requirements
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pip install requirements.txt
- Download embeddings
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cd ./pretrained_word_embeddings/
./download_external.sh
- Train model
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cd ./src
python ./rnn/confidence_model.py --train=../data/train.conll --dev=../data/dev.conll --test=../data/test.conll --load_hyperparams=../hyerparams/confidence.json```
NOTE: Models are saved by default to the models dir, unless a "--saveto" command line argument is passed. See confidence_model.py for more details.
- Predict with a trained model
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python ./trained_oie_extractor.py \
--model=path/to/model \
--in=path/to/raw/sentences
--out=path/to/output/file
--conll
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More scripts See src/scripts for more handy scripts. Additional documentation coming soon!