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NLP Annotation Helpers

Project description

NLP Annotations

A simple python package for dealing with different nlp annotation styles. No dependencies, and is very fast due to only using regular expressions.

You can install it with:

pip3 install nlp-annotations

Annotation Types

The following are the annotation types we support and how to convert it to another type.

Markdown Links

(Used by Rasa, etc...), these are in the form:

The weather is [sunny](weather) and the sky is [blue](color).

To convert this to an entity list you can:

from nlp_annotations import markdown_links2entity_list
markdown_links2entity_list("The weather is [sunny](weather) and the sky is [blue](color).")
# ('The weather is sunny and the sky is blue.', {'entities': [(15, 20, 'weather'), (36, 40, 'color')]})

For other situations that you may wish to add extra logic, there is also a generator:

from nlp_annotations import markdown_string_link_generator

for link in markdown_string_link_generator("The weather is [sunny](weather) and the sky is [blue](color)."):
    print(f"- word={link.word}, entity={link.entity}, start={link.start}, end={link.end}")

# - word=sunny, entity=weather, start=15, end=31
# - word=blue, entity=color, start=47, end=60

Entity List

(Used by Spacy, etc...), these are in the form:

('The weather is sunny and the sky is blue.', {'entities': [(15, 20, 'weather'), (36, 40, 'color')]})

To convert this to a markdown links string, you can:

from nlp_annotations import entity_list2markdown_links
entity_list2markdown_links("The weather is sunny and the sky is blue.", [(15, 20, 'weather'), (36, 40, 'color')])
# 'The weather is [sunny](weather) and the sky is [blue](color).'

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