For example, in the event "took a trip", "trip" is more representative than "took" and "a".
we add an attention mechanism (Bahdanau et al., 2014) over the Bi-LSTM output vectors in each multi-word expression to learn a task-specific notion of headedness (Lee et al., 2017): wherex i is a weighted sum of Bi-LSTM output vectors in span i.