Metadata-Version: 2.1
Name: NERDA
Version: 0.0.13
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
Description: # NERDA <img src="https://raw.githubusercontent.com/ebanalyse/NERDA/main/logo.png" align="right" height=250/>
        
        ![Build status](https://github.com/ebanalyse/NERDA/workflows/build/badge.svg)
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        ![License](https://img.shields.io/badge/license-MIT-blue.svg)
        
        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).
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
