LLAMA: automatic hypertext generation utilizing language models

Zhou, Dong; Goulding, James; Truran, Mark; Brailsford, Tim

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.

Citation

Zhou, D., Goulding, J., Truran, M., & Brailsford, T. LLAMA: automatic hypertext generation utilizing language models. Paper presented at Eighteenth ACM Conference on Hypertext and Hypermedia (HT07)

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: Eighteenth ACM Conference on Hypertext and Hypermedia (HT07)
• Acceptance Date: Jan 1, 2007
• Publication Date: Sep 10, 2007
• Deposit Date: Oct 4, 2018
• Peer Reviewed: Peer Reviewed
• Pages: 77-80
• ISBN: 9781595938206
• Public URL: https://uwe-repository.worktribe.com/output/1025007
• Additional Information: Title of Conference or Conference Proceedings : Proceedings of the eighteenth conference on Hypertext and hypermedia (HT07)