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Found 6 papers, 1 papers with code
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction
Detecting what emotions are expressed in text is a well-studied problem in natural language processing.
Emotion-Infused Models for Explainable Psychological Stress Detection
The problem of detecting psychological stress in online posts, and more broadly, of detecting people in distress or in need of help, is a sensitive application for which the ability to interpret models is vital.
Segmenting Subtitles for Correcting ASR Segmentation Errors
Typical ASR systems segment the input audio into utterances using purely acoustic information, which may not resemble the sentence-like units that are expected by conventional machine translation (MT) systems for Spoken Language Translation.
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines
In this work, we focus on improving ASR output segmentation in the context of low-resource language speech-to-text translation.
Subtitles to Segmentation: Improving Low-Resource Speech-to-TextTranslation Pipelines
In this work, we focus on improving ASR output segmentation in the context of low-resource language speech-to-text translation.
Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
Stress is a nigh-universal human experience, particularly in the online world.
