Directly feeding the entire graph into an LLM is impractical. Therefore, we summarize the graph by selecting only the most relevant nodes and edges based on the user's query. Mixed Integer Programming ...

This program allows you to select a text document, summarize its content, and visualize the summary in the form of a graph. This program is designed to simplify the process of summarizing text ...

Researchers propose MultiBART-GAT, an encoder-decoder architecture model based on BART, for abstractive summarization. By incorporating knowledge graph information and structured semantics, the model ...

In this paper we present a novel approach for video summarization based on graph optimization. Our approach emphasizes both a comprehensive visual-temporal content coverage and visual coherence of the ...

“Improving question formulation” represents acquiring a deeper understanding of the topic and emerges as a key strategy for advancing programming learning. The automatic summarization was implemented ...

Graph-based ranking algorithms have been traditionally and successfully used in citation analysis, social networks, and the analysis of the link-structure of the World Wide Web. In short, these ...