Metadata-Version: 2.1
Name: NERDA
Version: 0.0.14
Summary: Named Entity Recognition for DAnish based on Transformers
Home-page: https://github.com/ebanalyse/NERDA
Author: PIN
Author-email: lars.kjeldgaard@eb.dk
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: torch
Requires-Dist: transformers (==3.5.1)
Requires-Dist: danlp
Requires-Dist: sklearn
Requires-Dist: nltk
Requires-Dist: pandas
Requires-Dist: conllu

# NERDA <img src="https://raw.githubusercontent.com/ebanalyse/NERDA/main/logo.png" align="right" height=250/>

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Fine-tuning of transformer-based models for Named Entity Recognition (=NER) tasks.

## Installation guide
```
pip install NERDA
```

## NER tasks
Named Entity Recognition (NER) tasks are all about identifying and 
extracting names of named entitites from natural language texts. 

Read more about NER on [Wikipedia](https://en.wikipedia.org/wiki/Named-entity_recognition).

## '`NERDA`'?
'`NERDA`' originally stands for *'Named Entity Recognition for DAnish'*. However, this
is somewhat misleading, since the functionality is no longer limited to Danish. 
On the contrary it generalizes to all other languages, i.e. NERDA supports 
fine-tuning of transformer-based models for NER tasks for any arbitrary 
language.

## Read more
The documentation for `NERDA` including code references and
examples can be accessed [here](https://ebanalyse.github.io/NERDA/).

## Contact
We hope, that you will find `NERDA` useful.

Please direct any questions and feedbacks to
[us](mailto:lars.kjeldgaard@eb.dk)!

If you want to contribute (which we encourage you to), open a
[PR](https://github.com/ebanalyse/NERDA/pulls).

If you encounter a bug or want to suggest an enhancement, please 
[open an issue](https://github.com/ebanalyse/NERDA/issues).



