Paper ID: 2302.04834

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning

Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin, Loïc Barrault

In this paper, we propose FrameBERT, a RoBERTa-based model that can explicitly learn and incorporate FrameNet Embeddings for concept-level metaphor detection. FrameBERT not only achieves better or comparable performance to the state-of-the-art, but also is more explainable and interpretable compared to existing models, attributing to its ability of accounting for external knowledge of FrameNet.

Submitted: Feb 9, 2023