论文标题

Iiserb大脑在Semeval 2022任务6:一个深入学习的框架,以识别英语的预期讽刺

IISERB Brains at SemEval 2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English

论文作者

Shekhawat, Tanuj Singh, Kumar, Manoj, Rathore, Udaybhan, Joshi, Aditya, Patro, Jasabanta

论文摘要

本文介绍了我们团队“ Iiserbbrains”为Semeval 2022 Task 6竞赛提交的系统体系结构和模型。我们争夺了为英语数据集浮动的所有三个子任务。在领导者板上,Wegot19在Sub-Taska的43支球队中排名第43个球队,第22个球队中的第8名,子任命B,在Sub-TaskC的16个球队中排名第13名。除了提交的结果和模型外,我们还报告了在组织者发布其评估数据的黄金标签后,我们通过实验获得的其他模型和结果

This paper describes the system architectures and the models submitted by our team "IISERBBrains" to SemEval 2022 Task 6 competition. We contested for all three sub-tasks floated for the English dataset. On the leader-board, wegot19th rank out of43 teams for sub-taskA, the 8th rank out of22 teams for sub-task B,and13th rank out of 16 teams for sub-taskC. Apart from the submitted results and models, we also report the other models and results that we obtained through our experiments after organizers published the gold labels of their evaluation data

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