Neural Simile Recognition with Cyclic Multitask Learning and Local Attention
Table 4: Main results on simile component extraction. * indicates significant at p<0.01 over MTL(➀+➁+➂).
['[BOLD] Model', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1-score']
Similar to the experimental results on Task 1, our MTL-Cyc and MTL-Pip still beats other models. Specially, our MTL-Pip(➀→➁→➂) exhibits better performance than MTL-OP [Liu:EMNLP2018], showing the effectiveness of information sharing between subtasks during training. Moreover, we discuss the results from the following aspects: