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NLP_UIOWA at SemEval-2020 Task 8: You're not the only one cursed with knowledge-Multi branch model memotion analysis

机译:nlp_uiowa在semeval-2020任务8:你不是唯一一个诅咒知识 - 多分支模型的Memotion分析的人

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We propose hybrid models (HybridE and HybridW) for meme analysis (SemEval 2020 Task 8), which involves sentiment classification (Subtask A), humor classification (Subtask B), and scale of semantic classes (Subtask C). The hybrid model consists of BLSTM and CNN for text and image processing respectively. HybridE provides equal weight to BLSTM and CNN performance, while HybridW provides weightage based on the performance of BLSTM and CNN on a validation set. The performances (macro F1) of our hybrid model on Subtask A are 0.329 (HybridE), 0.328 (HybridW), on Subtask B are 0.507 (HybridE), 0.512 (HybridW). and on Subtask C are 0.309 (HybridE). 0.311 (HybridW).
机译:我们提出了用于MEME分析(SEMEVAL 2020任务8)的混合模型(杂交和混合动力),其涉及情绪分类(子任务A),幽默分类(SubTask B)和语义类(SubTask C)的比例。 混合模型分别包括用于文本和图像处理的BLSTM和CNN。 杂交提供平衡的BLSTM和CNN性能,而Hybridw根据BLSTM和CNN在验证集上的性能提供重量。 SubTask A上的杂种模型的性能(宏F1)是0.329(杂交),0.328(杂交线),在次间B上为0.507(杂交),0.512(杂交)。 在次间C为0.309(杂种)。 0.311(Hybridw)。

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