Extending Event Detection to New Types with Learning from Keywords
Table 2: Model performance. The numbers in the brackets indicate the optimized numbers of CNN layers.
['Model', 'Conflict P', 'Conflict R', 'Conflict F1', 'Life P', 'Life R', 'Life F1']
Among the features in the feature-based models, the embedding features in Word2Vec are very helpful for ED in LFK as the models with these features achieve the best performance (i.e., Word2Vec for Conflict and Feature+Word2Vec for Life). Among the deep learning models, the CFA-based models (i.e., Concat-CFA and Attention-CFA) are significantly better than their corresponding baseline models (i.e., Concat and Attention) over both Conflict and Life with Attention. This confirms the benefits of CFA for ED in LFK.