| abisee/cnn-dailymail |
381 |
|
0 |
0 |
over 7 years ago |
0 |
|
20 |
mit |
Python |
| Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization |
| maszhongming/MatchSum |
375 |
|
0 |
0 |
over 4 years ago |
0 |
|
16 |
|
Python |
| Code for ACL 2020 paper: "Extractive Summarization as Text Matching" |
| HHousen/TransformerSum |
362 |
|
0 |
0 |
about 3 years ago |
0 |
|
8 |
gpl-3.0 |
Python |
| Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task. |
| EdinburghNLP/Refresh |
230 |
|
0 |
0 |
about 6 years ago |
0 |
|
17 |
bsd-3-clause |
Python |
| Ranking Sentences for Extractive Summarization with Reinforcement Learning |
| EdinburghNLP/XSum |
228 |
|
0 |
0 |
about 6 years ago |
0 |
|
14 |
mit |
Python |
| Topic-Aware Convolutional Neural Networks for Extreme Summarization |
| lipiji/TranSummar |
133 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
mit |
Python |
| Transformer for abstractive summarization on cnn/daily-mail and gigawords |
| magic282/NeuSum |
118 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
|
Python |
| Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences" |
| zwc12/Summarization |
70 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| A sequence to sequence model for abstractive text summarization |
| ucfnlp/summarization-sing-pair-mix |
67 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
other |
Python |
| Code, Models, and Data for the ACL 2019 paper "Scoring Sentence Singletons and Pairs for Abstractive Summarization" |
| shashiongithub/sidenet |
49 |
|
0 |
0 |
about 6 years ago |
0 |
|
3 |
bsd-3-clause |
Python |
| SideNet: Neural Extractive Summarization with Side Information |
