NLQ application
# ❓ Questions & Help

I have a pdf extractor and from this I got a dataframe with 2 columns (sections,paragraphs).
Is there any easy way to do a question and get answer like: (example)
Question: "where is the book?"
Answer: "It's on the bookshelf."
Section: "1.2.3 The Book"
Paragraph: "(Full section paragraph)"

Sorry for bad english.
I assume you concatenate all paragraphs in a single text string, encode it with your question, and give the string as an input to your QA model (or pipeline). What you get back, is an answer span: indexes of the first and last character of the answer in the input text. To find a paragraph it belongs to,  compute indexes of the paragraph spans in your concatenated text strings. <|||||>This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
