Abstract
Metaphoric expressions are a special linguistic phenomenon, frequently appearing in everyday language. Metaphors do not take their literal meanings in contexts, which may cause obstacles for language learners to understand them. Metaphoric expressions also reflect the cognition of humans via concept mappings, attracting great attention from cognitive science and psychology communities. Thus, we aim to develop a computational metaphor processing online system, termed MetaPro Online, that allows users without a coding background, e.g., language learners and linguists, to easily query metaphoricity labels, metaphor paraphrases, and concept mappings for non-domain-specific text. The outputs of MetaPro can be directly used by language learners and natural language processing downstream tasks because MetaPro is an end-to-end system.- Anthology ID:
- 2023.acl-demo.12
- Volume:
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Danushka Bollegala, Ruihong Huang, Alan Ritter
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 127–135
- Language:
- URL:
- https://aclanthology.org/2023.acl-demo.12
- DOI:
- 10.18653/v1/2023.acl-demo.12
- Cite (ACL):
- Rui Mao, Xiao Li, Kai He, Mengshi Ge, and Erik Cambria. 2023. MetaPro Online: A Computational Metaphor Processing Online System. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 127–135, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- MetaPro Online: A Computational Metaphor Processing Online System (Mao et al., ACL 2023)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2023.acl-demo.12.pdf