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Static summaries

  • In typical systems, the static summary is a subset of the document

  • Simplest heuristic: the first 50 (or so – this can be varied) words of the document

    • Summary cached at indexing time

  • More sophisticated: extract from each document a set of “key” sentences

    • Simple NLP heuristics to score each sentence

    • Summary is made up of top-scoring sentences.

  • Most sophisticated: NLP used to synthesize a summary

    • Seldom used in IR; cf. text summarization work

Speaker notes:

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