csebuetnlp/xl-sum
This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.
This project helps content managers, researchers, or analysts quickly understand the core message of long-form articles in 44 different languages. You provide a full article, and it generates a concise summary, making it easier to process large volumes of information across various global sources. This is ideal for anyone who needs to grasp content quickly without reading every word.
277 stars. No commits in the last 6 months.
Use this if you need to summarize news articles, reports, or other textual content in multiple languages, such as for competitive intelligence, market research, or international news monitoring.
Not ideal if you require highly nuanced or interpretive summaries for sensitive legal, medical, or financial documents where every detail must be precisely understood.
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Python
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Mar 26, 2024
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