Metaphor Detection

Metaphor detection in natural language processing aims to automatically identify figurative language use, distinguishing it from literal meaning. Current research focuses on improving accuracy through advanced deep learning models, often incorporating techniques like knowledge distillation, multi-task learning (combining metaphor detection with related tasks such as word sense disambiguation), and the integration of linguistic theories like the Metaphor Identification Procedure. This field is crucial for enhancing natural language understanding in various applications, including improved machine translation, sentiment analysis, and the development of more sophisticated conversational AI systems.