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
Bibkey:
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)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-3/W18-0907.pdf
PDF Search