Code for ACL 21: Generating Query Focused Summaries from Query-Free Resources
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Updated
Jul 15, 2022 - Python
Code for ACL 21: Generating Query Focused Summaries from Query-Free Resources
Code for EMNLP 20: Coarse-to-Fine Query Focused Multi-Document Summarization.
Source code for the paper "QuOTeS: Query-Oriented Technical Summarization"
Modified Code for ACL 2018 paper by Chen and Bansal for Query Focused Summarization
An implementation of the GraphRAG pipeline (based on the 2024 paper "From Local to Global" by Edge et al.) for query-focused summarization of large text corpora.
📊 Streamline query-focused summarization by constructing knowledge graphs and extracting insights from document corpora with the GraphRAG pipeline.
A PyTorch implementation for "Your Interest, Your Summaries: Query-Focused Long Video Summarization" [ICARCV, 2024]
🗂️ Build a knowledge graph for global query-focused summarization from document corpora using the GraphRAG pipeline, enhancing information synthesis.
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