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Few-shot Event Detection: An Empirical Study and a Unified View
AbstractFew-shot event detection (ED) has been widely studied, while this brings noticeable discrepancies, e.g., various motivations, tasks, and experimental settings, that hinder the understanding of models for future progress. This …...
Prompt-Based Approach for Czech Sentiment Analysis
AbstractThis paper introduces the first prompt-based methods for aspect-based sentiment analysis and sentiment classification in Czech. We employ the sequence-to-sequence models to solve the aspect-based tasks simultaneously and demonstrate the …...
Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking
AbstractPrompt-based methods with large pre-trained language models (PLMs) have shown impressive unaided performance across many NLP tasks. These models improve even further with the addition of a few labeled in-context …...