For evaluating slot induction (AP and PR-AUC), the double-graph random walk (row (e)) performs better on both ASR and manual results, which implies that additionally integrating the lexical knowledge graph helps decide a more coherent and complete slot set since we can model the score propagation more precisely (not only slot-level but wordlevel information).
for SLU evaluation (WAP and AF), the single-graph random walk (row (c)) performs better, which may imply that the slots carrying the coherent relations from the row (e) may not have good semantic decoder performance so that the performance is decreased a little.