5 papers · 1 filter
MASIVE: Open-Ended Affective State Identification in English and Spanish
Nicholas Deas, Elsbeth Turcan, Iván Pérez Mejía +1
In the field of emotion analysis, much NLP research focuses on identifying a limited number of discrete emotion categories, often applied across languages. These basic sets, howeve…
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction
Elsbeth Turcan, Shuai Wang, Rishita Anubhai +3
Detecting what emotions are expressed in text is a well-studied problem in natural language processing. However, research on finer grained emotion analysis such as what causes an e…
Segmenting Subtitles for Correcting ASR Segmentation Errors
David Wan, Chris Kedzie, Faisal Ladhak +6
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 mach…
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines
David Wan, Zhengping Jiang, Chris Kedzie +3
In this work, we focus on improving ASR output segmentation in the context of low-resource language speech-to-text translation. ASR output segmentation is crucial, as ASR systems s…
Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
Elsbeth Turcan, Kathleen McKeown
Stress is a nigh-universal human experience, particularly in the online world. While stress can be a motivator, too much stress is associated with many negative health outcomes, ma…