QA-Summarizing-Docs

An NLP-powered notebook application for document summarization and question answering, utilizing the SpaCy and Pegasus libraries. This app efficiently processes text data, delivering concise summaries and relevant answers from the input documents.

Long technical documents resist both skimming and search — you need a summary to orient, then targeted answers to act.

1. 01

   Used Pegasus for abstractive summarisation of long-form input.

2. 02

   Layered spaCy pipelines for entity-aware question answering against the source text.