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Exploring transformers and time lag features for predicting changes in mood over time
This paper presents transformer-based models created for the CLPsych 2022 shared task.
Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection
In deployment, systems that use speech as input must make use of automated transcriptions.
Collecting high-quality adversarial data for machine reading comprehension tasks with humans and models in the loop
We present our experience as annotators in the creation of high-quality, adversarial machine-reading-comprehension data for extractive QA for Task 1 of the First Workshop on Dynamic Adversarial Data Collection (DADC).
ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition
Named entity recognition identifies common classes of entities in text, but these entity labels are generally sparse, limiting utility to downstream tasks.
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