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- W4382201703 abstract "We introduce a graph-based summarization and keyphrase extraction system that uses dependency trees as inputs for building a document graph. The document graph is built by connecting nodes containing lemmas and sentence identifiers after redirecting dependency links to emphasize semantically important entities. After applying a ranking algorithm to the document graph, we extract the highest ranked sentences as the summary. At the same time, the highest ranked lemmas are aggregated into keyphrases using their context in the dependency graph. Our algorithm specializes in handling long documents, including scientific, technical, legal, and medical documents." @default.
- W4382201703 created "2023-06-28" @default.
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- W4382201703 date "2022-12-16" @default.
- W4382201703 modified "2023-09-27" @default.
- W4382201703 title "Dependency Graphs for Summarization and Keyphrase Extraction" @default.
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- W4382201703 doi "https://doi.org/10.1145/3582768.3582792" @default.
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