Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1286240.1286263 | Hypertext 1999 |
Keywords | Field | DocType |
manual hypertext construction,automatic hypertext generation,language model,authoritative source,autonomous creation,hypertext authoring,human hypertext author,hyperlinked structure,experimental comparison,direct benefit,language models,clustering,hits,bipartite graph | Hypertext,World Wide Web,Computer science,Bipartite graph,Natural language processing,Artificial intelligence,Cluster analysis,Language model | Conference |
Citations | PageRank | References |
9 | 0.59 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Zhou | 1 | 342 | 25.99 |
| James Goulding | 2 | 70 | 12.23 |
| Mark Truran | 3 | 286 | 14.43 |
| Tim Brailsford | 4 | 340 | 20.08 |