Coreference Systems based on Kernels Methods

Yannick Versley, Alessandro Moschitti, Massimo Poesio, Xiaofeng Yang

Abstract:

Various types of structural information -
e.g., about the type of constructions in
which binding constraints apply, or about
the structure of names - play a central role
in coreference resolution, often in combination with lexical information (as in expletive detection). Kernel functions appear to be a promising candidate to capture
structure-sensitive similarities and complex feature combinations, but care is required to ensure they are exploited in the
best possible fashion. In this paper we
propose kernel functions for three subtasks
of coreference resolution - binding constraint detection, expletive identification,
and aliasing - together with an architecture to integrate them within the standard
framework for coreference resolution