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.
Cite
CITATION STYLE
Leong, C. W., Klebanov, B. B., & Shutova, E. (2018). A report on the 2018 VUA metaphor detection shared task. In Proceedings of the Workshop on Figurative Language Processing, Fig-Lang 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018 (pp. 56–66). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-0907
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