A Multi-level Neural Network for Implicit Causality Detection in Web Texts
TABLE II: Details of the AltLex dataset.
['[BOLD] Type', '[BOLD] Causal', '[BOLD] Non-causal', '[BOLD] Sum', '[BOLD] Average']
Dataset. We use the AltLexes dataset to evaluate the proposed approach. The Bootstrapped set is generated using new AltLexes to identify additional ones based on the Training set, which increased causal examples by about 65 percent. In our experiment, we train MCDN on the Training set and Bootstrapped set separately and finetune hyper-parameters on the validation set. The golden annotated set is used as the test set. We perform 5 runs on each deep model and obtain the average metrics.