https://github.com/mswellhao/PacSum

Unsupervised Extractive Summarization based on Position-Augmented Centrality
https://github.com/mswellhao/PacSum

Last synced: about 1 month ago
JSON representation

Unsupervised Extractive Summarization based on Position-Augmented Centrality

• Host: GitHub
• URL: https://github.com/mswellhao/PacSum
• Owner: mswellhao
• Created: 2019-05-31T10:51:57.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-09-06T09:21:36.000Z (over 3 years ago)
• Last Synced: 2024-08-02T10:27:20.583Z (4 months ago)
• Language: Python
• Size: 18.6 KB
• Stars: 124
• Watchers: 4
• Forks: 27
• Open Issues: 12
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-Multi-Document-Summarization - mswellhao/PacSum

README

        
# PacSum

This code is for paper [Sentence Centrality Revisited for Unsupervised Summarization](https://arxiv.org/pdf/1906.03508.pdf) ACL 2019

Some codes are borrowed from [pytorch_pretrained_bert](https://github.com/huggingface/pytorch-transformers) and [gensim](https://github.com/RaRe-Technologies/gensim)

-------

### Dependencies

  Python3.6, pytorch >= 1.0, numpy, gensim, pyrouge

-------

### Data used in the paper:

Download https://drive.google.com/open?id=1gNKWkZG4dVr5XrOeQBVicy1fdnpH2d5l

### Bert models fine-tuned using the approach in the paper:

Download https://drive.google.com/file/d/1wbMlLmnbD_0j7Qs8YY8cSCh935WKKdsP/view?usp=sharing

### Tuning the hyperparamters and test the performance using TfIdf or BERT representation

```

python run.py --rep tfidf --mode tune --tune_data_file path/to/validation/data --test_data_file path/to/test/data

```

```

python run.py --rep bert --mode tune --tune_data_file path/to/validation/data --test_data_file path/to/test/data --bert_model_file  path/to/model --bert_config_file path/to/config --bert_vocab_file path/to/vocab

```