Abstract
This paper describes the approach developed by the LT3 team in the Intended Sarcasm Detection task at SemEval-2022 Task 6. We considered the binary classification subtask A for English data. The presented system is based on the fuzzy-rough nearest neighbor classification method using various text embedding techniques. Our solution reached 9th place in the official leader-board for English subtask A.
Cite
CITATION STYLE
Kaminska, O., Cornelis, C., & Hoste, V. (2022). LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm Detection. In SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop (pp. 987–992). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.semeval-1.138
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