Our ongoing work includes identifying candidate morphs from scratch, as well as discovering morphs for a given target based on anomaly analysis and textual coherence modeling.
then we propose various novel similarity measurements including surface features, meta-path based semantic features and social correlation features and combine them in a learning-to-rank framework.