Discovering Differential Features: Adversarial Learning for Information Credibility Evaluation
Table 3: The parameters of ANSP on different datasets
['[EMPTY]', '[BOLD] Dropout', '[BOLD] LRate', '[ITALIC] α', '[ITALIC] β', '[ITALIC] γ']
Hyperparameters: In our experiments, we use pre-trained 200-dimensional word2vec embeddings from English and Chinese Wikipedia For each task, we strictly turn all the hyperparameters on the validation dataset, and we achieve the best performance via a small grid search.