@inproceedings{li-etal-2023-framebert,
title = "{F}rame{BERT}: Conceptual Metaphor Detection with Frame Embedding Learning",
author = "Li, Yucheng and
Wang, Shun and
Lin, Chenghua and
Guerin, Frank and
Barrault, Loic",
editor = "Vlachos, Andreas and
Augenstein, Isabelle",
booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.eacl-main.114",
doi = "10.18653/v1/2023.eacl-main.114",
pages = "1558--1563",
abstract = "In this paper, we propose FrameBERT, a BERT-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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%0 Conference Proceedings
%T FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning
%A Li, Yucheng
%A Wang, Shun
%A Lin, Chenghua
%A Guerin, Frank
%A Barrault, Loic
%Y Vlachos, Andreas
%Y Augenstein, Isabelle
%S Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F li-etal-2023-framebert
%X In this paper, we propose FrameBERT, a BERT-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.
%R 10.18653/v1/2023.eacl-main.114
%U https://aclanthology.org/2023.eacl-main.114
%U https://doi.org/10.18653/v1/2023.eacl-main.114
%P 1558-1563
Markdown (Informal)
[FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning](https://aclanthology.org/2023.eacl-main.114) (Li et al., EACL 2023)
ACL