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I'm working on a project to extract named entities from text data using Spacy in Python. I'd like to leverage the power of knowledge graphs to enhance my NER model. Specifically, I want to use NetworkX to create a knowledge graph and integrate it with Spacy for NER. Here are my questions:
How can I create a knowledge graph using NetworkX that represents entities and their relationships?
How can I integrate this knowledge graph with Spacy's NER model to improve entity recognition?
Are there any examples or resources available that demonstrate this integration?
Any help, guidance, or pointers would be greatly appreciated! Thanks in advance for your responses!
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I'm working on a project to extract named entities from text data using Spacy in Python. I'd like to leverage the power of knowledge graphs to enhance my NER model. Specifically, I want to use NetworkX to create a knowledge graph and integrate it with Spacy for NER. Here are my questions:
How can I create a knowledge graph using NetworkX that represents entities and their relationships?
How can I integrate this knowledge graph with Spacy's NER model to improve entity recognition?
Are there any examples or resources available that demonstrate this integration?
Any help, guidance, or pointers would be greatly appreciated! Thanks in advance for your responses!
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