unicamp-dl/corpus2question
Using questions to summarize large amounts of textual data.
This tool helps researchers and analysts quickly understand the main themes and topics within large collections of text documents. It takes a corpus of documents, like research papers or news articles, and generates a list of representative questions that highlight key information. This allows you to grasp the core content without reading every single document.
No commits in the last 6 months.
Use this if you need to rapidly summarize the main points or identify emergent themes across a vast collection of text documents, such as scientific literature or internal reports.
Not ideal if you need a precise, extractive summary of individual documents or a tool for answering specific questions directly from the text.
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25
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2
Language
Jupyter Notebook
License
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Category
Last pushed
Sep 23, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/unicamp-dl/corpus2question"
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