LLAMA: automatic hypertext generation utilizing language models

  • Authors:
  • Dong Zhou;James Goulding;Mark Truran;Tim Brailsford

  • Affiliations:
  • University of Nottingham, Nottingham, United Kingdom;University of Nottingham, Nottingham, United Kingdom;University of Teesside, Middlesbrough, United Kingdom;University of Nottingham, Nottingham, United Kingdom

  • Venue:
  • Proceedings of the eighteenth conference on Hypertext and hypermedia
  • Year:
  • 2007

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Abstract

Manual hypertext construction is labour intensive and prone to error. Robust systems capable of automatic hypertext generation (AHG) could be of direct benefit to those individuals responsible for hypertext authoring. In this paper we propose a novel technique for the autonomous creation of hypertext which is dependent upon language models. This work is strongly influenced by those algorithms which process the hyperlinked structure of a corpus in an attempt to find authoritative sources. The algorithm was evaluated by experimental comparison with human hypertext authors, and we found that both approaches produced broadly similar results.