Intuitive Semantic Graph Tool for Enhanced Archive Exploration
A poster paper presenting an unsupervised pipeline that uses pre-trained transformer language models, UMAP, and HDBSCAN to build multilayer semantic graphs for intuitive, multilingual exploration of cultural heritage archives.- doi
- 10.1145/3603163.3609069
- isbn
- 979-8-4007-0232-7
- name
- Intuitive Semantic Graph Tool for Enhanced Archive Exploration
- source
- acm_url
- https://dl.acm.org/doi/10.1145/3603163.3609069
- authors
- Isabella Gagliardi, Maria Teresa Artese
- doi_url
- https://doi.org/10.1145/3603163.3609069
- license
- © Copyright held by the owner/author(s).
- summary
- A poster paper presenting an unsupervised pipeline that uses pre-trained transformer language models, UMAP, and HDBSCAN to build multilayer semantic graphs for intuitive, multilingual exploration of cultural heritage archives.
- published
- 2023-09-04
- conference
- HT '23: 34th ACM Conference on Hypertext and Social Media, Rome, Italy, September 4-8, 2023
- open_access
- false
- acm_html_url
- https://dl.acm.org/doi/full/10.1145/3603163.3609069
- displayAuthor
- Isabella Gagliardi and Maria Teresa Artese (IMATI MI, CNR, Milan, Italy)
- displayPublishTime
- 2023-09-04
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