Hansin Ahuja

Improving User Behavior Prediction: Leveraging Annotator Metadata in Supervised Machine Learning Models

Supervised machine-learning models often underperform in predicting user behaviors from conversational text, hindered by poor crowdsourced label quality and low NLP task accuracy. We introduce the Metadata-Sensitive Weighted-Encoding Ensemble Model (MSWEEM), which integrates annotator meta-features like fatigue and sp…