Automatic title generation for EM

  • Authors:
  • Paul E. Kennedy;Alexander G. Hauptmann

  • Affiliations:
  • MIT Lincoln Laboratory, 244 Wood Street, Lexington, MA;Dept. of Computer Science, Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • DL '00 Proceedings of the fifth ACM conference on Digital libraries
  • Year:
  • 2000

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Abstract

Our prototype automatic title generation system inspired by statistical machine-translation approaches [1] treats the document title like a translation of the document. Titles can be generated without extracting words from the document. A large corpus of documents with human-assigned titles is required for training title "translation" models. On an f1 evaluation score our approach outperformed another approach based on Bayesian probability estimates [7].