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Text Summarisation with TextRank

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Text summarisation is the problem of shortening a long piece of text to produce a coherent summary while preserving the essential points of the original content. While supervised methods can be effective, they often require large amounts of training data. In this talk, we explore TextRank, an unsupervised, graph-based algorithm inspired by Google’s PageRank. We also touch upon more recent approaches that use recurrent neural networks.

This talk is part of the Churchill CompSci Talks series.

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