FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning
FOS: Computer and information sciences
Computer Science - Computation and Language
0202 electrical engineering, electronic engineering, information engineering
02 engineering and technology
Computation and Language (cs.CL)
DOI:
10.18653/v1/2023.eacl-main.114
Publication Date:
2023-09-09T20:54:31Z
AUTHORS (5)
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.
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