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Update app.py
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app.py
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@@ -38,7 +38,7 @@ st.header("Location Recognition Demo ๐๐๐")
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st.sidebar.header("Information โน๏ธ ")
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st.sidebar.markdown(
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"""
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This example application accompanies the blog post: [Extracting useful information from documents with Named Entity Recognition]().
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It uses a pre-trained Named Entity Recognition (NER) model from the [spaCy](https://spacy.io/) library to extract locations from your own examples, or a sample of grant applications from The Wellcome Trust.
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The application will extract the following types of location entity:
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st.sidebar.header("Information โน๏ธ ")
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st.sidebar.markdown(
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"""
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This example application accompanies the blog post: [Extracting useful information from documents with Named Entity Recognition](https://medium.com/@reproducible/extracting-useful-information-from-documents-with-named-entity-recognition-4e009b60a8c).
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It uses a pre-trained Named Entity Recognition (NER) model from the [spaCy](https://spacy.io/) library to extract locations from your own examples, or a sample of grant applications from The Wellcome Trust.
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The application will extract the following types of location entity:
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