URLComSum

This code repository is for paper [Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning], The 4th Workshop on Simple and Efficient Natural Language Processing (SustaiNLP 2023), co-located with ACL 2023

To train the model:

python train_OT_hybridcompressivepointer.py --experiment newsroom_2_26 --dataset_str newsroom --dataset_doc_field text --max_ext_output_length 2 --max_comp_output_length 26 --train_batch_size 3 --tkner w2v

To test the model:

python decode_full_model_hybridcompressorpointer.py --dataset_str newsroom --dataset_doc_field text --path=decoded_newsroom_2_26 --test --model_dir=models --model_name=summarizer_newsroom_2_26_ckpt.bin --max_ext_output_length 2 --max_comp_output_length 26 --tkner w2v