Juvena Therapeutic--Claim Extraction for Scientific Publications
This packaged was modified from the "Detecting claim from scientific publication using discourse model and transfer learning." For more information please refer to the original library.
Authors:
Xi Chen, Juvena Therapeutics AI team. Fuse Machine
Requirements
- Python 3.6
- AllenNLP >= 0.6.1
- spacy
- fastText
- Pubmed RCT - dataset
1 maintainer
Metadata
1 maintainer
Release files for Scientific-Publication-Claim-Extraction 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| Scientific-Publication-Claim-Extraction-1.0.0.tar.gz | 11.3 kB | Without provenance | Details for Scientific-Publication-Claim-Extraction-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| Scientific_Publication_Claim_Extraction-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for Scientific_Publication_Claim_Extraction-1.0.0-py3-none-any.whl |
Total release size: 33.0 kB
Release files / Scientific-Publication-Claim-Extraction-1.0.0.tar.gz
| Download URL | Scientific-Publication-Claim-Extraction-1.0.0.tar.gz |
|---|---|
| Size | 11.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
407fbadce158afd8ff384a581327ea24680e8d60b2d237ceb04c6a9d6166134e
|
|
BLAKE2b-256 checksum How to use checksums |
8b8314431cc9cfa26dd88e049ec14a090f7de09415228a36f3238c51d9024495
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1.post20200604 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.6.10
|
Release files / Scientific_Publication_Claim_Extraction-1.0.0-py3-none-any.whl
| Download URL | Scientific_Publication_Claim_Extraction-1.0.0-py3-none-any.whl |
|---|---|
| Size | 21.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7dbceb01a83e75e82e7f371b66cc7bb11ff1cdb1f959d555c5daae8dca9cd3c1
|
|
BLAKE2b-256 checksum How to use checksums |
70892c616496379e5b4c8ff8513410b0af9c9ccc06676bbb0fc95480460af0d3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1.post20200604 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.6.10
|
Security for Scientific-Publication-Claim-Extraction 1.0.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
