Learning as Graph TraversalLarge text corpora rarely arrive with the structure a reader needs to navigate them.
- doi
- 10.1145/3800935.3830839
- isbn
- 979-8-4007-2564-7
- name
- Learning as Graph Traversal
- source
- html
- acm_url
- https://dl.acm.org/doi/10.1145/3800935.3830839
- authors
- Jacob Puthipiroj
- doi_url
- https://doi.org/10.1145/3800935.3830839
- license
- CC BY 4.0
- summary
- Large text corpora rarely arrive with the structure a reader needs to navigate them.
- keywords
- automatic hypertext; trails; guided tours; optimal leaf ordering; text embeddings; spaced repetition; spiral curriculum
- published
- 2026-09-14
- conference
- HT '26: 37th ACM Conference on Hypertext, London, United Kingdom, September 14–18, 2026
- acm_html_url
- https://dl.acm.org/doi/fullHtml/10.1145/3800935.3830839
- ccs_concepts
- (empty)
- displayAuthor
- Jacob Puthipiroj
- proceedings_url
- https://dl.acm.org/doi/proceedings/10.1145/3800935
- displayPublishTime
- 2026-09-14
- acm_reference_format
- ACM Reference Format: Jacob Puthipiroj. 2026. Learning as Graph Traversal: Inducing Navigable Hypertext Structure from a Flat Corpus. In 37th ACM Conference on Hypertext (HT '26), September 14--18, 2026, London, United Kingdom. ACM, New York, NY, USA 7 Pages. https://doi.org/10.1145/3800935.3830839
Powered by Seed HypermediaOpen App