Co-occurring keywords · papers mentioning both
Papers
Beyond the Average Reader: the Reader Embedding Approach
ACL 2025
The Inverse Scaling Effect of Pre-Trained Language Model Surprisal Is Not Due to Data Leakage
ACL 2025
Frequency Explains the Inverse Correlation of Large Language Models’ Size, Training Data Amount, and Surprisal’s Fit to Reading Times
EACL 2024
Legal Text Reader Profiling: Evidences from Eye Tracking and Surprisal Based Analysis
COLING 2024
On the Role of Context in Reading Time Prediction
EMNLP 2024
Reverse-Engineering the Reader
EMNLP 2024
Words, Subwords, and Morphemes: What Really Matters in the Surprisal-Reading Time Relationship?
EMNLP 2023
CDRNN: Discovering Complex Dynamics in Human Language Processing
ACL 2021
You Don’t Have Time to Read This: An Exploration of Document Reading Time Prediction
ACL 2020
A Neural Model of Adaptation in Reading
EMNLP 2018
A Cognition Based Attention Model for Sentiment Analysis
EMNLP 2017
Learning Sentence Representation with Guidance of Human Attention
IJCAI 2017