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ybisk / HMM-RNN

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Tagging #6

Open ybisk opened 6 years ago

ybisk commented 6 years ago

Accuracy -- Does the most common tag of the word predicted, match the gold tag.
Perplexity -- p(w) --> p(t) against gold

HMM numbers are 1-best cluster, not marginal

model LM Prp UPOS PTB
hmm_none_h900_lr0.001_drop0.0_ramsprop_wd0.0 304.09 68.23 52.36
hmm_word_h200_lr20.0_drop0.0_sgd_wd0.0 288.15 61.66 45.16
hmm-g_none_h900_lr0.001_drop0.0_ramsprop_wd0.0 243.51 59.64 44.62
rnn-1_word_h850_lr0.002_drop0.2_ramsprop 207.95 48.54 36.68
rrnn-r_word_h800_lr0.002_drop0.6_ramsprop 88.91 52.63 43.06
elman_word_h850_lr0.002_drop0.4_ramsprop 87.27 54.59 44.97
lstm_word_h650_lr10.0_drop0.6_sgd 80.61 55.08 45.75