mderanklib
Library for MDERank model to AKE
It has been adapted and improved to work also in Spanish language.
Original Paper: MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction Original Repo: https://github.com/LinhanZ/mderank
Install
Use requirements.txt to install the required libraries. You can use torch with and without gpu
Download also the required spacy models of Spanish/English
python -m spacy download en_core_web_sm
python -m spacy download es_core_news_sm
Run
execute run.sh file
Acknowledges
Metadata
Release files for mderanklib 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| mderanklib-0.1.0.tar.gz | 15.0 kB | Without provenance | Details for mderanklib-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| mderanklib-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for mderanklib-0.1.0-py3-none-any.whl |
Total release size: 29.4 kB
Release files / mderanklib-0.1.0.tar.gz
| Download URL | mderanklib-0.1.0.tar.gz |
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| Size | 15.0 kB |
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SHA-256 checksum How to use checksums |
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Release files / mderanklib-0.1.0-py3-none-any.whl
| Download URL | mderanklib-0.1.0-py3-none-any.whl |
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| Size | 14.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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