In our experiments, we simplify and reformulate the RCNN model.
each word embedding representation e i of input sentence is the concatenation of several features, a randomly initialized word embedding e r i , a pretrained word embedding e p i , a randomly initialized lemma embedding e l i , a randomly initialized POS tag embedding e pos i , and a predicate-specific feature e f i , which is a binary flag set 0 or 1 indicating whether the current word is the given predicate.