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Table 8 Semantic role 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 0.59 30,635 0.55 56.33 ±0.94 70.88 ±0.14 58.20 ±0.06
Louvain Method 0.68 77,659 0.59 9.33 ±0.47 65.36 ±0.08 52.84 ±0.24
Label Propagation 0.66 63,742 0.58 15.00 ±0.00 64.00 ±0.00 53.75 ±0.00
Greedy Modularity 0.59 30,635 0.55 54.00 ±0.00 60.94 ±0.00 46.45 ±0.00
  1. d refers to the neighboring threshold. CC refers to the clustering coefficient