Such a complex task calls for a combination of multiple approaches, and much research indeed suggests "hybrid" approaches to MWE identification (Duan et al., 2009;Weller and Fritzinger, 2010;Ramisch et al., 2010;Hazelbeck and Saito, 2010).
we believe that Bayesian Networks provide an optimal architecture for expressing various pieces of knowledge aimed at MwE identification, for the following reasons (Heckerman, 1995): • to many other classification methods, BN can learn (and express) causal relationships between features.