Neural Simile Recognition with Cyclic Multitask Learning and Local Attention
Table 3: Main results on simile sentence classification. * indicates significant at p<0.01 over MTL(➀+➁+➂) with 1000 bootstrap tests [efron1994introduction, koehn2004statistical]. For the remaining of this paper, we use the same measure for statistical significance.
['[BOLD] Model', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1-score']
Overall, our MTL-Cyc exhibits the best performance, outperforming the previous state of the arts: ME [Li:CIP2008] and MTL [Liu:EMNLP2018] and our baselines. This confirms the hypothesis that focusing on the local context of comparator is more suitable for detecting simile sentences.