husseinmozannar/SOQAL
Arabic Open Domain Question Answering System using Neural Reading Comprehension
This project helps researchers, academics, or anyone working with large Arabic text collections to quickly find specific answers to factual questions. You input a question in Arabic, and it searches through a vast collection of Arabic Wikipedia articles to pinpoint and extract the most relevant sentence or phrase that directly answers your query. It's designed for users who need precise, fact-based answers from extensive Arabic knowledge bases.
165 stars. No commits in the last 6 months.
Use this if you frequently need to extract precise factual answers from large collections of Arabic text, like Wikipedia, without manually sifting through documents.
Not ideal if your questions are not factual, require synthesizing information from multiple sources, or if your knowledge source is not a structured text collection like Wikipedia.
Stars
165
Forks
33
Language
Python
License
MIT
Category
Last pushed
Aug 04, 2023
Commits (30d)
0
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