harpreetvirkk/BERT-QnA-System
Natural Language Question Answering System implemented using BERT, SIF Embeddings, and Word2Vec.
This system helps professionals quickly find specific answers within large bodies of text. You input a collection of documents and natural language questions, and it provides direct answers by pinpointing the most relevant sentence or passage. It's designed for anyone who needs to extract precise information efficiently from extensive textual records, such as legal professionals reviewing case files or HR managers navigating policy documents.
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Use this if you need to rapidly retrieve specific information from a vast archive of documents by asking natural language questions, rather than manually searching through text.
Not ideal if your documents are highly unstructured, contain a lot of jargon not present in common language, or if you need to synthesize answers from multiple complex sources rather than extract direct sentences.
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Last pushed
Dec 09, 2022
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