@inproceedings{kaminska-etal-2022-lt3,
    title = "{LT}3 at {S}em{E}val-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm Detection",
    author = "Kaminska, Olha  and
      Cornelis, Chris  and
      Hoste, Veronique",
    editor = "Emerson, Guy  and
      Schluter, Natalie  and
      Stanovsky, Gabriel  and
      Kumar, Ritesh  and
      Palmer, Alexis  and
      Schneider, Nathan  and
      Singh, Siddharth  and
      Ratan, Shyam",
    booktitle = "Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)",
    month = jul,
    year = "2022",
    address = "Seattle, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.semeval-1.138/",
    doi = "10.18653/v1/2022.semeval-1.138",
    pages = "987--992",
    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."
}