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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