NeuralSum

Neural Network Summarizer

Features(to be included)

• Hierarchical encoder ..* CNN sentence encoder ..* LSTM document encoder ..* Bidirectional LSTM document encoder
• Sentence extraction ..* Extraction with LSTM decoder ..* Prediction on top of BiLSTM encoder
• Word generator ..* Vanilla decoder ..* Hierarchical attention decoder ..* Beam-search decoder ..* External language model
• Post-process ..* LR Ranker ..* MERT feature-tuning ..* RL feature-tuning

Dependencies

• numpy
• scipy
• tensorflow
• scikit-learn

Quick-start

• Data
• Pretrian a general-purpose encoder: python pretrain.py
• Training python train.py
• Evaluate python evaluate.py

Visualize scores

Sentence scores are stored during evaluation.

Citation

@InProceedings{cheng-lapata:2016:P16-1, 
  author = {Cheng, Jianpeng and Lapata, Mirella}, 
  title = {Neural Summarization by Extracting Sentences and Words}, 
  booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, 
  year = {2016}, 
  address = {Berlin, Germany}, 
  publisher = {Association for Computational Linguistics}, 
  pages = {484--494} 
 }

Reference

• char-CNN-LSTM
• seq2seq

Liscense

MIT