performance comparison #6
Description
test performance using topic as multi-task learning. only enhance the encoder, not using the topic as input for event extraction though
epoch 1
('lose Mention', u'cfcec8e30722564d5bf43fcb5f739cd8')
('lose Mention', u'04cdc0c45303f7024417e4d94f9a7c13')
('lose Mention', u'66b0e5014943dde6c74c048086b7a0a3')
('Micro_F1:', 67.776451242312973)
('Micro_Precision:', 66.690309424594375)
('Micro_Recall:', 68.898557362033429)
('Macro_F1:', 50.955298281699037)
('Macro_Precision:', 55.190862598324387)
('Macro_Recall:', 50.812833395810941)
epoch 2
('lose Mention', u'395e263d21484d8998d853b0b1b6ec5a')
('lose Mention', u'063e9a5b7265bc3ae0ea731c5f06545b')
('lose Mention', u'362cbeafe8c757195425faa40a88ff61')
('Micro_F1:', 67.062822261786408)
('Micro_Precision:', 67.72205099467638)
('Micro_Recall:', 66.416304098923746)
('Macro_F1:', 58.714489780943694)
('Macro_Precision:', 63.478851556871454)
('Macro_Recall:', 58.704903536659984)
epoch 3
('lose Mention', u'f0ae798aa5b9014e3c8e47aefb281330')
('lose Mention', u'd3f3a2e2f335d8c50f7612c29aa0cb2a')
('lose Mention', u'1418f6cb3c97797a7542e7ec6ac04427')
('lose Mention', u'913c2d91f695ccb637386f211cd8d94d')
('lose Mention', u'f697f918553fc11d73d709bf3029603d')
('Micro_F1:', 68.213119095965396)
('Micro_Precision:', 65.833084820858005)
('Micro_Recall:', 70.771696817036869)
('Macro_F1:', 60.237205257354191)
('Macro_Precision:', 61.145512218719368)
('Macro_Recall:', 62.252039674965374)
epoch 10
('Micro_F1:', 64.949966644429608)
('Micro_Precision:', 63.125135076723581)
('Micro_Recall:', 66.883444011907486)
('Macro_F1:', 59.76302032588179)
('Macro_Precision:', 58.998255594751669)
('Macro_Recall:', 61.678292061307531)