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Iza Skrjanec
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2020 – today
- 2024
- [j1]Anwesha Das
, Zekun Wu
, Iza Skrjanec
, Anna Maria Feit
:
Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction. Proc. ACM Hum. Comput. Interact. 8(ETRA): 1-18 (2024) - [c9]Tong Liu, Iza Skrjanec, Vera Demberg:
Temperature-scaling surprisal estimates improve fit to human reading times - but does it do so for the "right reasons"? ACL (1) 2024: 9598-9619 - [i3]Anwesha Das, Zekun Wu, Iza Skrjanec, Anna Maria Feit:
Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction. CoRR abs/2404.14232 (2024) - 2023
- [c8]Margarita Ryzhova
, Iza Skrjanec
, Nina Quach
, Alice Virginia Chase
, Emilia Ellsiepen
, Vera Demberg
:
Word Familiarity Classification From a Single Trial Based on Eye-Movements. A Study in German and English. ETRA 2023: 60:1-60:2 - [c7]Saad Obaid ul Islam, Iza Skrjanec, Ondrej Dusek, Vera Demberg:
Tackling Hallucinations in Neural Chart Summarization. INLG 2023: 414-423 - [c6]Iza Skrjanec, Frederik Yannick Broy, Vera Demberg:
Expert-adapted language models improve the fit to reading times. KES 2023: 3488-3497 - [i2]Saad Obaid ul Islam, Iza Skrjanec, Ondrej Dusek, Vera Demberg:
Tackling Hallucinations in Neural Chart Summarization. CoRR abs/2308.00399 (2023) - [i1]Tong Liu, Iza Skrjanec, Vera Demberg:
Improving fit to human reading times via temperature-scaled surprisal. CoRR abs/2311.09325 (2023) - 2022
- [c5]Iza Skrjanec, Muhammad Salman Edhi, Vera Demberg:
Barch: an English Dataset of Bar Chart Summaries. LREC 2022: 3552-3560 - 2021
- [c4]Fangzhou Zhai, Iza Skrjanec, Alexander Koller
:
Script Parsing with Hierarchical Sequence Modelling. *SEM 2021: 195-201
2010 – 2019
- 2017
- [c3]Ben Verhoeven, Iza Skrjanec, Senja Pollak:
Gender Profiling for Slovene Twitter communication: the Influence of Gender Marking, Content and Style. BSNLP@EACL 2017: 119-125 - [c2]Matej Martinc, Iza Skrjanec, Katja Zupan, Senja Pollak:
PAN 2017: Author Profiling - Gender and Language Variety Prediction. CLEF (Working Notes) 2017 - 2015
- [c1]Nikola Ljubesic, Darja Fiser, Tomaz Erjavec, Jaka Cibej, Dafne Marko, Senja Pollak, Iza Skrjanec:
Predicting the Level of Text Standardness in User-generated Content. RANLP 2015: 371-378
Coauthor Index

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