@inproceedings{khwaileh-al-asad-2020-elmo,
    title = "{ELM}o-{NB} at {S}em{E}val-2020 Task 7: Assessing Sense of Humor in {E}dited{N}ews Headlines Using {ELM}o and {NB}",
    author = "Khwaileh, Enas  and
      Al-As{'}ad, Muntaha A.",
    editor = "Herbelot, Aurelie  and
      Zhu, Xiaodan  and
      Palmer, Alexis  and
      Schneider, Nathan  and
      May, Jonathan  and
      Shutova, Ekaterina",
    booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
    month = dec,
    year = "2020",
    address = "Barcelona (online)",
    publisher = "International Committee for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.semeval-1.130/",
    doi = "10.18653/v1/2020.semeval-1.130",
    pages = "1001--1007",
    abstract = "Our approach is constructed to improve on a couple of aspects; preprocessing with an emphasis on humor sense detection, using embeddings from state-of-the-art language model(Elmo), and ensembling the results came up with using machine learning model Na {\ensuremath{\ddot{}}}{\i}ve Bayes(NB) with a deep learning pre-trained models. Elmo-NB participation has scored (0.5642) on the competition leader board, where results were measured by Root Mean Squared Error (RMSE)."
}