yixinL7/BRIO
ACL 2022: BRIO: Bringing Order to Abstractive Summarization
This project helps generate high-quality, abstractive summaries from long documents, improving upon standard summarization techniques. You provide source documents (like news articles or reports) and get back concise, human-like summaries. It's designed for anyone working with large volumes of text who needs to quickly grasp the main points or synthesize information, such as content analysts, researchers, or journalists.
337 stars. No commits in the last 6 months.
Use this if you need to create accurate and coherent summaries from lengthy textual content, particularly when the original text needs to be rephrased rather than just extracting sentences.
Not ideal if you're looking for extractive summarization that only pulls key sentences directly from the source text, or if you don't have programming knowledge.
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337
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42
Language
Python
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Last pushed
Oct 10, 2024
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