PromptCL: Improving Event Representation via Prompt Template and Contrastive Learning

arXiv:2404.17877v1 Announce Type: new
Abstract: The representation of events in text plays a significant role in various NLP tasks. Recent research demonstrates that contrastive learning has the ability to improve event comprehension capabilities of Pre-trained Language Models (PLMs) and enhance the performance of event representation learning. However, the efficacy of event representation learning based on contrastive learning and PLMs is limited by the short length of event texts. The length of event texts differs significantly from the text length used …

arxiv cs.cl event improving prompt representation template type via