amazon-science/wqa-contextual-qa
Coala is a python package for Contextual Answer Sentence Selection.
This project helps information retrieval specialists and content curators improve the accuracy of question-answering systems. It takes a question, a pool of potential answer sentences, and the surrounding text from documents, then identifies the most relevant sentence that contains the answer. This is ideal for those who manage knowledge bases or customer support systems and need to pinpoint precise answers quickly.
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Use this if you need to find the exact answer sentence to a question from a set of retrieved text snippets, especially when the context around the answer helps determine its relevance.
Not ideal if you're building a system that needs to generate full-paragraph answers or if your data doesn't provide contextual information around candidate answer sentences.
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Python
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Last pushed
Jun 12, 2023
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