Reconstructing Peirce's Trails of Thought: Multimodal Computational Analysis of Non-Linear Manuscript CompositionThe digitization of manuscript collections opens new possibilities for analyzing complex, multimodal documents.
- doi
- 10.1145/3800935.3830878
- isbn
- 979-8-4007-2564-7
- name
- Reconstructing Peirce's Trails of Thought: Multimodal Computational Analysis of Non-Linear Manuscript Composition
- source
- html
- acm_url
- https://dl.acm.org/doi/10.1145/3800935.3830878
- authors
- Carlo Teo Pedretti
- doi_url
- https://doi.org/10.1145/3800935.3830878
- license
- CC BY 4.0
- summary
- The digitization of manuscript collections opens new possibilities for analyzing complex, multimodal documents.
- keywords
- multimodal manuscripts; digital editions; S-diagrams; Vision Language Models; Charles S. Peirce; semiotics
- 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/10.1145/3800935.3830878
- ccs_concepts
- CCS Concepts: • Information systems → Digital libraries and archives ; Information extraction;
- displayAuthor
- Carlo Teo Pedretti
- proceedings_url
- https://dl.acm.org/doi/proceedings/10.1145/3800935
- displayPublishTime
- 2026-09-14
- acm_reference_format
- ACM Reference Format: Carlo Teo Pedretti. 2026. Reconstructing Peirce's Trails of Thought: Multimodal Computational Analysis of Non-Linear Manuscript Composition. In 37th ACM Conference on Hypertext (HT '26), September 14--18, 2026, London, United Kingdom. ACM, New York, NY, USA 4 Pages. https://doi.org/10.1145/3800935.3830878
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