A Survey of Text Summarization Techniques

@inproceedings{Nenkova2012ASO,
  title={A Survey of Text Summarization Techniques},
  author={A. Nenkova and K. McKeown},
  booktitle={Mining Text Data},
  year={2012}
}
  • A. Nenkova, K. McKeown
  • Published in Mining Text Data 2012
  • Computer Science
  • Numerous approaches for identifying important content for automatic text summarization have been developed to date. [...] Key Method These indicators are combined, very often using machine learning techniques, to score the importance of each sentence. Finally, a summary is produced by selecting sentences in a greedy approach, choosing the sentences that will go in the summary one by one, or globally optimizing the selection, choosing the best set of sentences to form a summary. In this chapter we give a broad…Expand Abstract
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