TextRank: Summarizing Academic Papers using a Graph-Based Approach
The TextRank prompt combines a natural language processing algorithm with a graph-based approach to summarize academic papers. By constructing a graph that represents the relationships between sentences in a given paper, TextRank identifies important concepts and ranks them based on their centrality within the graph. This enables the algorithm to extract concise and informative summaries that highlight the key ideas and findings of academic papers.
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