Learning attention functions requires large volumes of data, but many NLP tasks simulate
human behavior, and in this paper, we show that human attention really does provide a …

Eye‐tracking data from reading provide a structured signal with a fine‐grained temporal
resolution which closely follows the sequential structure of the text. It is highly correlated with …

Eye movements during reading offer insights into both the reader's cognitive processes and
the characteristics of the text that is being read. Hence, the analysis of scanpaths in reading …

NLP models are imperfect and lack intricate capabilities that humans access automatically
when processing speech or reading a text. Human language processing data can be …

Gaze behaviour has been used as a way to gather cognitive information for a number of
years. In this paper, we discuss the use of gaze behaviour in solving different tasks in natural …

Numerous studies have illustrated the connection between eye movements during reading
and text understanding. Incorporating eye-tracking data into text processing models has …

In recent years gaze data has been increasingly used to improve and evaluate NLP models
due to the fact that it carries information about the cognitive processing of linguistic …

Multilingual topic models enable crosslingual tasks by extracting consistent topics from
multilingual corpora. Most models require parallel or comparable training corpora, which …

Integrating eye-tracking data into text processing models is consistently demonstrating
improvements in their outcomes. Numerous studies have been undertaken to explore low …

Automatic essay grading (AEG) is a process in which machines assign a grade to an essay
written in response to a topic, called the prompt. Zero-shot AEG is when we train a system to …