A number of recent works have applied modern machine learning techniques to SCF induction, including point-wise co-occurrence of arguments (Debowski, 2009), a Bayesian network model (Lippincott et al., 2012), multi-way tensor factorization (Van de Cruys et al., 2012) and Determinantal Point Processes (DPPs) -based clustering (Reichart and Korhonen, 2013).
all of these systems induce type-level SCF lexicons and, except from the system of (Lippincott et al., 2012) that is not capable of learning traditional SCFs, they all rely on supervised parsers.