Heritage Connector NLP
Project description
heritage-connector-nlp
Text processing for the Heritage Connector: a set of NLP utilities for the Heritage sector.
--- IN DEVELOPMENT ---
Includes:
- information extraction (NER, NEL, relation classification)
- labelling (Label Studio)
- test suite for models
Usage
Label Studio
Setting up (first time):
- Run
label-studio start labelling --init, which will start up Label Studio and take you to a configuration wizard. - Select Named Entity Recognition from the top menu, and fill in the entity types you want to annotate
Running: Run label-studio start labelling from the root directory.
Useful parameters:
--sampling=uniform: have Label Studio show documents in a random order--label-config label_studio_config_sample.xml: load config from a file
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hc-nlp-0.2.0.tar.gz
(10.2 kB
view details)
Built Distribution
File details
Details for the file hc-nlp-0.2.0.tar.gz.
File metadata
- Download URL: hc-nlp-0.2.0.tar.gz
- Upload date:
- Size: 10.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9a269f52de00eab5c12692feb870cbd9bb9c77e67f5c170b53db8c64faf4c454 |
|
| MD5 | f087f65cda765932169ed96925cb79fa |
|
| BLAKE2b-256 | a16b752fdc9f63ff8eb33e7e75d3b0f86cfa5616732992b04ba74be20960c951 |
File details
Details for the file hc_nlp-0.2.0-py3-none-any.whl.
File metadata
- Download URL: hc_nlp-0.2.0-py3-none-any.whl
- Upload date:
- Size: 9.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | dec5b013b8ead7936cba900a196973e8c67bf23b70dc1ecf25d4b1b1e019fd52 |
|
| MD5 | f83340a5bc6405d4587d3dcec0c9a84a |
|
| BLAKE2b-256 | ed471684fb031c73e281a565c92db7b9715c3d1fcd631f37697fc64784be4f06 |
