@inproceedings{683c5e008bdb491fb8ce6213a18dcfdb,
title = "Amobee at SemEval-2020 Task 7: Regularization of Language Model Based Classifiers",
abstract = "This paper describes Amobee's participation in SemEval-2020 task 7: “Assessing Humor in Edited News Headlines”, sub-tasks 1 and 2. The goal of this task was to estimate the funniness of human modified news headlines. In this paper we present methods to fine-tune and ensemble various language models (LM) based classifiers for this task. This technique used for both sub-tasks and reached the second place (out of 49) in sub-tasks 1 with RMSE score of 0.5, and the second (out of 32) place in sub-task 2 with accuracy of 66% without using any additional data except the official training set.",
author = "Alon Rozental and Dadi Biton and Ido Blank",
note = "Publisher Copyright: {\textcopyright} 2020 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings. All rights reserved.; 14th International Workshops on Semantic Evaluation, SemEval 2020 ; Conference date: 12-12-2020 Through 13-12-2020",
year = "2020",
month = jan,
day = "1",
language = "English",
series = "14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings",
publisher = "International Committee for Computational Linguistics",
pages = "981--985",
editor = "Aurelie Herbelot and Xiaodan Zhu and Alexis Palmer and Nathan Schneider and Jonathan May and Ekaterina Shutova",
booktitle = "14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings",
}