@inproceedings{c196a49e7b464e20a77ed71f72bf3d9b,
title = "ECNU at SemEval-2020 Task 7: Assessing Humor in Edited News Headlines Using BiLSTM with Attention",
abstract = "In this paper we describe our system submitted to SemEval 2020 Task 7: “Assessing Humor in Edited News Headlines”. We participated in all subtasks, in which the main goal is to predict the mean funniness of the edited headline given the original and the edited headline. Our system involves two similar sub-networks, which generate vector representations for the original and edited headlines respectively. And then we do a subtract operation of the outputs from two sub-networks to predict the funniness of the edited headline.",
author = "Tiantian Zhang and Zhixuan Chen and Man Lan",
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, co-located with COLING 2020 ; Conference date: 12-12-2020 Through 13-12-2020",
year = "2020",
doi = "10.18653/v1/2020.semeval-1.129",
language = "英语",
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 = "995--1000",
editor = "Aurelie Herbelot and Xiaodan Zhu and Alexis Palmer and Nathan Schneider and Jonathan May and Ekaterina Shutova",
booktitle = "COLING 2020 - The International Workshop on Semantic Evaluation, Proceedings of the 14th Workshop",
}