Shaun-le/ViQAG
Question and answer generation (QAG) is a natural language processing (NLP) task that generates a question and an answer in the same time by using context information. The input context can be represented in form of structured information in a database or raw text. The outputs of QAG systems can be directly applied to several NLP applications...
This project helps anyone working with Vietnamese text to automatically create relevant question-and-answer pairs from a given paragraph or document. You provide a block of Vietnamese text, and it generates a list of questions and their corresponding answers extracted from that text. This is useful for educators creating quizzes, content creators developing FAQs, or anyone needing to quickly derive knowledge checks from long-form content.
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Use this if you need to quickly generate questions and answers from Vietnamese text for tasks like creating comprehension quizzes, developing chatbots, or building knowledge bases.
Not ideal if you need to generate questions for languages other than Vietnamese, or if your primary goal is to summarize text rather than extract Q&A pairs.
Stars
11
Forks
2
Language
Python
License
MIT
Category
Last pushed
May 05, 2025
Commits (30d)
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