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Update README.md
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README.md
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@@ -19,3 +19,21 @@ This app allows lawyers to quickly analyze legal documents using AI models from
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- Upload a document (in .txt format).
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- View the summary or analysis generated by the AI model.
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- Upload a document (in .txt format).
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- View the summary or analysis generated by the AI model.
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Technologies:
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streamlit
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transformers
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# to classify text as law-related or not using zero-shot classification
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model="facebook/bart-large-mnli"
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# "summarization"
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model="facebook/bart-large-cnn"
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#Named Entity Recognition (NER)
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model="dslim/bert-base-NER"
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Named Entity Recognition (NER) is a Natural Language Processing (NLP) technique used to identify and classify key information (entities)
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in text. In the context of your legal document analysis project, NER plays an important role in extracting relevant entities such as names
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of people, organizations, locations, dates, and more, which are crucial in legal texts.
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