FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning
Reviewed by Pith T0 review T1 audit T2 compute T3 formal T4 kernel pith:MQIFY7QXrecord.jsonopen to challenge →
classification
cs.CL
keywords
framebertdetectionframenetmetaphorabilityaccountingachievesattributing
read the original abstract
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.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.