Computer scienceData scienceNLPMain NLP tasksText summarization

Extractive text summarization

The ES overview

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Select the statements that hold true for the extractive summarization (ES) models discussed in the theory section.

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TextRank is a supervised learning algorithm (requires labeled data)

TextRank uses indicator representation as the intermediate text representation

LSA has the ability to detect synonyms

Extractive summarization algorithms are unable to generate summaries that include terms not found in the original document

Luhn's work is based on the notion that the word frequency determines the word's significance in a document

All extractive summarization algorithms lack the ability for paraphrase detection

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