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Found 5 papers, 2 papers with code
EMMT: A simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenarios
We present the Eyetracked Multi-Modal Translation (EMMT) corpus, a dataset containing monocular eye movement recordings, audio and 4-electrode electroencephalogram (EEG) data of 43 participants.
Team ÚFAL at CMCL 2022 Shared Task: Figuring out the correct recipe for predicting Eye-Tracking features using Pretrained Language Models
Our submissions achieved an average MAE of 5. 72 and ranked 5th in the shared task.
Sentence Ambiguity, Grammaticality and Complexity Probes
It is unclear whether, how and where large pre-trained language models capture subtle linguistic traits like ambiguity, grammaticality and sentence complexity.
Multimodal Shannon Game with Images
To investigate the impact of multimodal information in this game, we use human participants and a language model (LM, GPT-2).
Unveiling Multilinguality in Transformer Models: Exploring Language Specificity in Feed-Forward Networks
The values then combine the output from the 'memories' of the keys to generate predictions about the next token.
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