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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
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