This paper advances the state-of-the-art performance in anaphoricity determination by ef-fectively capturing the structured syntactic information via a tree kernel-based method.
a dependency-driven scheme is proposed to dynamically determine the syntactic parse tree structure for tree kernel-based anaphoricity determination by exploiting constituent dependencies from both the syntactic and semantic perspectives to keep the necessary information in the parse tree as well as remove the noisy information.