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Perl Python
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ROUGE-1.5.5
README.md Update README.md Aug 2, 2019
attention.py first commit Feb 17, 2019
classification_model.py replace task Feb 20, 2019
config_eval.py augment data Feb 28, 2019
config_pretrain.py
config_summarize.py
data_loader.py finished for ACL2019 Mar 6, 2019
eval.py Update eval.py Jul 19, 2019
linearModel.py replace task Feb 20, 2019
model.py Update model.py Jul 19, 2019
rouge_score.py
run_eval.sh
run_pretrain.sh Update run_pretrain.sh Jul 19, 2019
run_summarization.sh Update run_summarization.sh Jul 19, 2019
sorter_model.py rouge-l score Feb 26, 2019
summarize_model.py summarization task Feb 19, 2019
train.py Update train.py Jul 19, 2019
train_summarizer.py augment data Feb 28, 2019
utils.py augment data Feb 28, 2019

README.md

Code for our ACL 2019 paper:

Self-Supervised Learning for Contextualized Extractive Summarization

Paper link: https://arxiv.org/abs/1906.04466

Prepare data

Download data

Requirement

Install pyrouge

pretrain the model

sh run_pretrain.sh

fine-tune the model

sh run_summarization.sh

evaluate the model

copy the model under 'results/models' to 'results/model_to_evaluate.pt'

sh run_eval.sh
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