To address the arguments-scattering challenge efficiently, it is indispensable to leverage global contexts to better identify whether an entity plays a specific event role.
we utilize document-level entity encoding to encode extracted entity mentions with such contexts and produce an embedding of size d w for each entity mention with a distinct surface name.