A Report on the 2018 VUA Metaphor Detection Shared Task
Chee Wee (Ben) Leong, Beata Beigman Klebanov, Ekaterina Shutova
Abstract
As the community working on computational approaches to figurative language is growing and as methods and data become increasingly diverse, it is important to create widely shared empirical knowledge of the level of system performance in a range of contexts, thus facilitating progress in this area. One way of creating such shared knowledge is through benchmarking multiple systems on a common dataset. We report on the shared task on metaphor identification on the VU Amsterdam Metaphor Corpus conducted at the NAACL 2018 Workshop on Figurative Language Processing.- Anthology ID:
- W18-0907
- Volume:
- Proceedings of the Workshop on Figurative Language Processing
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, Chee Wee
- Venue:
- Fig-Lang
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 56–66
- Language:
- URL:
- https://aclanthology.org/W18-0907
- DOI:
- 10.18653/v1/W18-0907
- Cite (ACL):
- Chee Wee (Ben) Leong, Beata Beigman Klebanov, and Ekaterina Shutova. 2018. A Report on the 2018 VUA Metaphor Detection Shared Task. In Proceedings of the Workshop on Figurative Language Processing, pages 56–66, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- A Report on the 2018 VUA Metaphor Detection Shared Task (Leong et al., Fig-Lang 2018)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/W18-0907.pdf