PAIRWISE – From Spatial Structure to Knowledge
A 13-participant study compared pairwise semantic-relatedness ratings of ten German concepts with weights inferred by a proximity-based spatial parser from the same participants' 2D arrangements, finding a strong linear correlation (Kendall tau = 0.754, MAE = 0.10) that supports treating spatial hyp- doi
- 10.1145/3648188.3675137
- isbn
- 979-8-4007-0595-3
- name
- PAIRWISE – From Spatial Structure to Knowledge
- source
- acm_url
- https://dl.acm.org/doi/10.1145/3648188.3675137
- authors
- Daniel Roßner, Lisa Eidloth, Claus Atzenbeck
- doi_url
- https://doi.org/10.1145/3648188.3675137
- license
- CC BY 4.0
- summary
- A 13-participant study compared pairwise semantic-relatedness ratings of ten German concepts with weights inferred by a proximity-based spatial parser from the same participants' 2D arrangements, finding a strong linear correlation (Kendall tau = 0.754, MAE = 0.10) that supports treating spatial hyp
- published
- 2024-09-10
- conference
- HT '24: 35th ACM Conference on Hypertext and Social Media, Poznan, Poland, September 10-13, 2024
- open_access
- true
- acm_html_url
- https://dl.acm.org/doi/full/10.1145/3648188.3675137
- displayAuthor
- Daniel Roßner, Lisa Eidloth, and Claus Atzenbeck
- displayPublishTime
- 2024-09-10
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