Papers by Amirreza Shirani
PSED: A Dataset for Selecting Emphasis in Presentation Slides (2021.findings-acl)
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Amirreza Shirani, Giai Tran, Hieu Trinh, Franck Dernoncourt, Nedim Lipka, Jose Echevarria, Thamar Solorio, Paul Asente
| Challenge: | null |
| Approach: | null |
| Outcome: | null |
Let Me Choose: From Verbal Context to Font Selection (2020.acl-main)
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| Challenge: | Current font selection interfaces do not consider verbal context of the input text. |
| Approach: | They propose a dataset containing examples of different topics in social media posts and ads, labeled through crowd-sourcing. |
| Outcome: | The proposed model captures inter-subjectivity across annotations on a dataset of social media posts and ads labeled through crowd-sourcing. |
Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions (P19-1)
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Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim, Jose Echevarria, Thamar Solorio
| Challenge: | Visual communication relies heavily on images and short texts to grab a viewer's attention and convey a message in the most efficient way. |
| Approach: | They propose a model that employs end-to-end label distribution learning on crowd-sourced data and predicts a selection distribution, capturing the inter-subjectivity and ambiguity of the input. |
| Outcome: | The proposed model captures the inter-subjectivity and ambiguity of the input and can be transformed to single-label learning by mapping labels to absolute labels via majority voting. |