commonsense 发表于 2025-3-27 00:30:46
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Applications of Eye Tracking in Language Processing and Other Areas,LP techniques mostly rely on the textual properties, recent research has shown that human behavioral data collected through technologies like eye tracking, electroencephalography (EEG), and magnetoencephalography (MEG) along with textual representations help improve performances of NLP systems. Our雪上轻舟飞过 发表于 2025-3-27 18:35:49
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Scanpath Complexity: Modeling Reading/Annotation Effort Using Gaze Informationon complexity for translation and sentiment annotation. We realize, gaze data, a form of . can be useful for labeling training data with . scores, when manually assigning such labels becomes extremely difficult due to its highly subjective nature. We rather rely on simplistic gaze-based measures lik哭得清醒了 发表于 2025-3-28 06:00:30
Predicting Readers’ Sarcasm Understandability by Modeling Gaze Behavior readers’/annotators’ eye-gaze patterns. While our models are, to some extent, effective in modeling various forms of complexities at the textual side, we observed that cognitive information can also be useful to model the ability of a reader to understand/comprehend the given reading material. ThisMisnomer 发表于 2025-3-28 06:54:36
Harnessing Cognitive Features for Sentiment Analysis and Sarcasm Detectionassification. We discuss several possibilities of extracting features from the eye-movement patterns of annotators and injecting them in popular NLP frameworks. We show that features derived from such forms of cognitive data (referred to as . or .), when augmented with traditional linguistic feature留恋 发表于 2025-3-28 13:41:18
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