Publication: Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding
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Deng, S., Prasse, P., Reich, D. R., Scheffer, T., & Jäger, L. A. (2023). Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding. 6500–6507. https://doi.org/10.18653/v1/2023.emnlp-main.400
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Human gaze data offer cognitive information that reflects natural language comprehension. Indeed, augmenting language models with human scanpaths has proven beneficial for a range of NLP tasks, including language understanding. However, the applicability of this approach is hampered because the abundance of text corpora is contrasted by a scarcity of gaze data. Although models for the generation of human-like scanpaths during reading have been developed, the potential of synthetic gaze data across NLP tasks remains largely unexplored.
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Deng, S., Prasse, P., Reich, D. R., Scheffer, T., & Jäger, L. A. (2023). Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding. 6500–6507. https://doi.org/10.18653/v1/2023.emnlp-main.400
