yumoxu/marge
Code for ACL 21: Generating Query Focused Summaries from Query-Free Resources
This project helps researchers and data scientists working with large collections of documents to generate targeted summaries. You input a collection of documents and a specific query, and the system produces a concise summary focused on answering that query. It's designed for users who need to quickly extract relevant information from vast text datasets based on their specific interests.
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Use this if you need to create summaries of documents that are tailored to a specific question or search term, rather than generic overviews.
Not ideal if you're looking for a simple tool to summarize a single document without a specific query, or if you don't have existing query-free summarization datasets to leverage for training.
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Python
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Last pushed
Jul 15, 2022
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