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Pros of rasa NLU
Pros of SpaCy
Pros of Flair
- Open Source1
Pros of rasa NLU
- Open Source9
- Docker Image6
- Self Hosted6
- Comes with rasa_core3
- Enterprise Ready1
Pros of SpaCy
- Speed12
- No vendor lock-in2
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Cons of Flair
Cons of rasa NLU
Cons of SpaCy
Cons of Flair
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Cons of rasa NLU
- No interface provided4
- Wdfsdf4
Cons of SpaCy
- Requires creating a training set and managing training1
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What is Flair?
Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification.
What is rasa NLU?
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
What is SpaCy?
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
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What companies use Flair?
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What companies use SpaCy?
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What tools integrate with Flair?
What tools integrate with rasa NLU?
What tools integrate with SpaCy?
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