Towards best practices for leveraging human language processing signals for natural language...

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Decoding EEG brain activity for multi-modal natural language processing

N Hollenstein, C Renggli, B Glaus, M Barrett… - Frontiers in Human …, 2021 - frontiersin.org
Until recently, human behavioral data from reading has mainly been of interest to
researchers to understand human cognition. However, these human language processing …
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[PDF] arxiv.org

An empirical exploration of cross-domain alignment between language and electroencephalogram

W Han, J Qiu, J Zhu, M Xu, D Weber, B Li… - ar** brains with language models: A survey
A Karamolegkou, M Abdou, A Søgaard - arxiv preprint arxiv:2306.05126, 2023 - arxiv.org
Over the years, many researchers have seemingly made the same observation: Brain and
language model activations exhibit some structural similarities, enabling linear partial …
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[PDF] aclanthology.org

That looks hard: Characterizing linguistic complexity in humans and language models

G Sarti, D Brunato, F Dell'Orletta - Proceedings of the Workshop …, 2021 - aclanthology.org
This paper investigates the relationship between two complementary perspectives in the
human assessment of sentence complexity and how they are modeled in a neural language …
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[PDF] arxiv.org

EMTeC: A Corpus of Eye Movements on Machine-Generated Texts

LS Bolliger, P Haller, ICR Cretton, DR Reich… - arxiv preprint arxiv …, 2024 - arxiv.org
The Eye Movements on Machine-Generated Texts Corpus (EMTeC) is a naturalistic eye-
movements-while-reading corpus of 107 native English speakers reading machine …
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