@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://aclanthology.org/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 ̈{\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).",
}
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<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 ̈ıve 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).</abstract>
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%0 Conference Proceedings
%T ELMo-NB at SemEval-2020 Task 7: Assessing Sense of Humor in EditedNews Headlines Using ELMo and NB
%A Khwaileh, Enas
%A Al-As’ad, Muntaha A.
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y May, Jonathan
%Y Shutova, Ekaterina
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 December
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F khwaileh-al-asad-2020-elmo
%X 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 ̈ıve 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).
%R 10.18653/v1/2020.semeval-1.130
%U https://aclanthology.org/2020.semeval-1.130
%U https://doi.org/10.18653/v1/2020.semeval-1.130
%P 1001-1007
Markdown (Informal)
[ELMo-NB at SemEval-2020 Task 7: Assessing Sense of Humor in EditedNews Headlines Using ELMo and NB](https://aclanthology.org/2020.semeval-1.130) (Khwaileh & Al-As’ad, SemEval 2020)
ACL