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Table 9 Result by skip-gram model and multi-scale word clustering.

From: CHEMDNER system with mixed conditional random fields and multi-scale word clustering

System CDI CEM
  Precision Recall F-score Precision Recall F-score
A 0.87207 0.89328 0.88255 0.89243 0.85085 0.87115
B 0.86934 0.89861 0.88373 0.88985 0.85910 0.87420
C 0.86879 0.90256 0.88535 0.88840 0.86699 0.87756
D 0.86965 0.90351 0.88625 0.89017 0.86671 0.87828
E 0.87322 0.90007 0.88644 0.89263 0.86218 0.87714
F 0.86721 0.90782 0.88705 0.88725 0.87413 0.88064
G 0.86847 0.90387 0.88582 0.88845 0.86427 0.87619
H 0.86298 0.90818 0.88501 0.88373 0.87401 0.87884
  1. System configuration: each configuration includes clustering method, the corpus size (S) and cluster number (N).
  2. A: Brown clustering, S = 74 K, N = 1 K; B: Skip-gram model, S = 74 K, N = 1 K;C: Skip-gram model, S = 100 k, N = 1 K; D: Skip-gram model, S = 400 k, N = 1 K; E: Skip-gram model, S = 400 k, N = 10 k; F: Skip-gram model, Multi-level clustering, S = 400 k, N = 10 k,1 k,50; G: Skip-gram model, S = 2.4 M, N = 10 k; H: Skip-gram model, Multi-scale clustering, S = 2.4 M, N = 10 k,1 k,50.