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spaCy
spaCy is a free library for advanced Natural Language Processing (NLP) in Python. It’s designed specifically for production use and helps you build applications that process and “understand” large volumes of text. It can be used to build information extraction or natural language understanding systems.
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Help the project :)
Hey guys,
I recently switched jobs, and a bit busy these days, and for some reason the volume of issues/requests has increased slightly over the last few weeks.
I'm looking for someone to help me manage the repo, verify pull requests, answer some issues? All I can offer is your name somewhere in the readme (and a coffee/beer if you're in Singapore !)
If you're interested let me know, it'
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The default RubrixLogHTTPMiddleware record mapper for token classification expect a structured including a text field for inputs. This could make prediction model inputs a bit cumbersome. Default mapper could accepts also flat strings as inputs:
def token_classification_mapper(inputs, outputs):
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YAML files appear to be better suited for storing configuration data than JSON.
-Config file -- Should be converted to a YAML file.
-Config reader -- This should probably be deleted and we can let a library like PyYAML h
Created by Explosion
Latest release 5 days ago
- Repository
- explosion/spaCy
- Website
- spacy.io
- Wikipedia
- Wikipedia


Intro
I am getting
TypeError: can not serialize 'BaseTextRank' objectwhen trying to use spaCy's multiprocessing innlp.pipewith atextrankpipeline component.Sorry if this a known/expected feature/limitation - I couldn't find anything by searching repo. I generally find (spaCy's) multiprocessing a bit temperamental anyhow, but this seems to just not work.
_PS. thanks for all