yuzhimanhua/FUTEX
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers (KDD'23)
This project helps researchers, librarians, and information scientists automatically categorize scientific papers. You input full-text scientific papers (including title, abstract, and full text) and the system outputs relevant subject labels for each paper, even with minimal initial label definitions. It's designed for anyone needing to organize, search, or analyze large collections of scientific literature.
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Use this if you need to assign multiple subject categories to a large volume of scientific papers using only a few examples of labeled data.
Not ideal if you need to classify non-scientific texts or if you have a robust, fully labeled dataset for supervised learning.
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17
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1
Language
C++
License
MIT
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Last pushed
Apr 02, 2024
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