Decoding EEG Brain Activity for Multi-Modal Natural Language Processing

no code implementations • 17 Feb 2021 • Nora Hollenstein, Cedric Renggli, Benjamin Glaus, Maria Barrett, Marius Troendle, Nicolas Langer, Ce Zhang

In this paper, we present the first large-scale study of systematically analyzing the potential of EEG brain activity data for improving natural language processing tasks, with a special focus on which features of the signal are most beneficial.

BIG-bench Machine Learning EEG +2

ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation

no code implementations • LREC 2020 • Nora Hollenstein, Marius Troendle, Ce Zhang, Nicolas Langer

We recorded and preprocessed ZuCo 2. 0, a new dataset of simultaneous eye-tracking and electroencephalography during natural reading and during annotation.

Advancing NLP with Cognitive Language Processing Signals

3 code implementations • 4 Apr 2019 • Nora Hollenstein, Maria Barrett, Marius Troendle, Francesco Bigiolli, Nicolas Langer, Ce Zhang

Cognitive language processing data such as eye-tracking features have shown improvements on single NLP tasks.

EEG General Classification +5