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Table 3 Semantic frame induction results achieved using different community detection algorithms

From: Semantic frame induction through the detection of communities of verbs and their arguments

  d Edges CC Clusters Purity F1 BCubed F1
Chinese Whispers 0.47 37,913 0.94 22.97 ±0.41 95.83 ±0.28 93.66 ±0.32
Louvain Method 0.43 35,491 0.92 23.00 ±0.00 95.83 ±0.00 93.66 ±0.00
Label Propagation 0.41 33,711 0.90 23.00 ±0.00 95.83 ±0.00 93.66 ±0.00
Greedy Modularity 0.31 21,753 0.84 33.00 ±0.00 87.15 ±0.00 80.45 ±0.00
  1. d refers to the neighboring threshold. CC refers to the clustering coefficient