https://github.com/liamca/simple_query_based_document_summarization

Simple Query Based Document Summarization
https://github.com/liamca/simple_query_based_document_summarization

document-summarization query-based-summarization sentence-transformer sentence-transformers

Last synced: 2 months ago
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Simple Query Based Document Summarization

• Host: GitHub
• URL: https://github.com/liamca/simple_query_based_document_summarization
• Owner: liamca
• License: mit
• Created: 2021-05-18T16:09:19.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-05-18T16:31:51.000Z (over 4 years ago)
• Last Synced: 2025-03-13T04:17:35.743Z (7 months ago)
• Topics: document-summarization, query-based-summarization, sentence-transformer, sentence-transformers
• Language: Jupyter Notebook
• Homepage:
• Size: 64.5 KB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Simple Query Based Document Summarization

Very simple example of how to do query based documentation summarization.

This works by leveraging Question-Answer Retrieval as found in [Sentence Transformers](https://www.sbert.net/docs/pretrained_models.html#question-answer-retrieval-msmarco) to take a query and find the passages or sentences that best represent the answer to this query within the document.

Tested using Python 3.7 and sentence transformers:

pip install sentence-transformers