TY - GEN
T1 - EmbodiedBERT: Cognitively Informed Metaphor Detection Incorporating Sensorimotor Information
AU - Li, Yuxi
AU - Peng, Bo
AU - Hsu, Yu Yin
AU - Huang, Chu Ren
N1 - Publisher Copyright:
© 2024 Association for Computational Linguistics.
PY - 2024/11
Y1 - 2024/11
N2 - The identification of metaphor is a crucial prerequisite for many downstream language tasks, such as sentiment analysis, opinion mining, and textual entailment. State-of-the-art systems of metaphor detection implement heuristic principles such as Metaphor Identification Procedure (MIP) (Pragglejaz Group, 2007) and Selection Preference Violation (SPV) (Wilks, 1975; Wilson, 2002). We propose an innovative approach that leverages the cognitive information of embodiment that can be derived from word embeddings, and explicitly models the process of sensorimotor change that has been demonstrated as essential for human metaphor processing. We showed that this cognitively motivated module is effective and can improve metaphor detection, compared with the heuristic MIP that has been applied previously.
AB - The identification of metaphor is a crucial prerequisite for many downstream language tasks, such as sentiment analysis, opinion mining, and textual entailment. State-of-the-art systems of metaphor detection implement heuristic principles such as Metaphor Identification Procedure (MIP) (Pragglejaz Group, 2007) and Selection Preference Violation (SPV) (Wilks, 1975; Wilson, 2002). We propose an innovative approach that leverages the cognitive information of embodiment that can be derived from word embeddings, and explicitly models the process of sensorimotor change that has been demonstrated as essential for human metaphor processing. We showed that this cognitively motivated module is effective and can improve metaphor detection, compared with the heuristic MIP that has been applied previously.
UR - https://www.scopus.com/pages/publications/85217619404
U2 - 10.18653/v1/2024.findings-emnlp.982
DO - 10.18653/v1/2024.findings-emnlp.982
M3 - Conference article published in proceeding or book
AN - SCOPUS:85217619404
T3 - EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024
SP - 16868
EP - 16876
BT - EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024
A2 - Al-Onaizan, Yaser
A2 - Bansal, Mohit
A2 - Chen, Yun-Nung
PB - Association for Computational Linguistics (ACL)
T2 - 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
Y2 - 12 November 2024 through 16 November 2024
ER -