BERT-based text summarizers
Table of Contents
- Table of Contents
- About the Project
- Getting started
- Usage
- Roadmap
- Contributing
- License
- Contact
- Acknowledgements
About the Project
- This repository will provide various summarization models using BERT.
Getting started
TBW
Usage
TBW
Roadmap
- BertSumExt
Contributing
TBW
License
Distributed under the MIT License. See LICENSE for more information.
Contact
Keisuke Hirota - @rad0717 - tahiro.k.ad[at]gmail.com
Project Link: https://github.com/k-tahiro/bert-summarizer
Acknowledgements
- EMNLP 2019 paper Text Summarization with Pretrained Encoders
1 maintainer
Release files for bert-summarizer 0.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bert-summarizer-0.2.5.tar.gz | 13.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bert_summarizer-0.2.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.8 kB
Release files / bert-summarizer-0.2.5.tar.gz
| Download URL | bert-summarizer-0.2.5.tar.gz |
|---|---|
| Size | 13.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / bert_summarizer-0.2.5-py3-none-any.whl
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|---|---|
| Size | 20.0 kB |
| Tags | Python 3 |
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