Tixierae/EMNLP2017_NewSum
Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
This project helps researchers and analysts quickly distill the most important information from long text documents, especially meeting transcripts or news articles. It takes in raw text, like a meeting speech transcript, and produces a concise summary by extracting key sentences. This is useful for anyone who needs to grasp the essence of lengthy discussions or articles without reading the entire text.
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Use this if you need to automatically generate clear, concise summaries from long text documents, particularly if they are transcripts of meetings or news articles.
Not ideal if you need a summary that synthesizes new sentences rather than extracting existing ones, or if your primary text source is not well-suited for extractive summarization.
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R
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Last pushed
Apr 24, 2020
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