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Found 2 papers, 1 papers with code
Multi Graph Neural Network for Extractive Long Document Summarization
Heterogeneous Graph Neural Networks (HeterGNN) have been recently introduced as an emergent approach for extracting document summarization (EDS) by exploiting the cross-relations between words and sentences.
HeterGraphLongSum: Heterogeneous Graph Neural Network with Passage Aggregation for Extractive Long Document Summarization
In this regard, HeterGraphLongSum is designed with three types of semantic units such as word, sentence, and passage.
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