We investigate a method to extract relations from texts based on global alignment and syntactic information. Combined with SVM, this method is shown to have a performance comparable or even better than LSTM on two RE tasks.

翻译：我们调查了一种方法,从基于全球统一和合成信息的文本中提取关系。 与SVM相结合,这种方法在两项RE任务上的表现与LSTM相似,甚至比LSTM还好。