We create WebQAmGaze, a multilingual low-cost eye-tracking-while-reading...
When humans read a text, their eye movements are influenced by the struc...
Integrating human feedback in models can improve the performance of natu...
Human fixation patterns have been shown to correlate strongly with
Trans...
Eye movement recordings from reading are one of the richest signals of h...
Collecting human judgements is currently the most reliable evaluation me...
The Zurich Cognitive Language Processing Corpus (ZuCo) provides eye-trac...
The Bayes error rate (BER) is a fundamental concept in machine learning ...
Determining the relative importance of the elements in a sentence is a k...
We analyze if large language models are able to predict patterns of huma...
Until recently, human behavioral data from reading has mainly been of
in...
In our experience working with domain experts who are using today's Auto...
Cognitively inspired NLP leverages human-derived data to teach machines ...
In this work, we present a text generation approach with multi-attribute...
We recorded and preprocessed ZuCo 2.0, a new dataset of simultaneous
eye...
An interesting method of evaluating word representations is by how much ...
When we read, our brain processes language and generates cognitive proce...
Previous research shows that eye-tracking data contains information abou...
We present an operational component of a real-world patient triage syste...
Reliably detecting relevant relations between entities in unstructured t...