ll0ruc / moganed Goto Github PK
View Code? Open in Web Editor NEWAn unofficial code reproduction in the field of event extraction of EMNLP-19 paper "Event Detection with Multi-Order Graph Convolution and Aggregated Attention"
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gillesj zhangbeibei1991 billy-liu-12 fantasyoo666 elroyhimself xjthm2019 anranh97 timothy2327moganed's Issues
Incorporate image data like CT to the modelling
Hi Griffin, I am curious is there any strategy to Incorporate image data like CT to the modelling. Thanks.
Shicheng
麻烦问下这里是什么意思，谢谢！
for i in range(BATCH_SIZE):
s_len = seqlen_1d[i]
mask[i, 0:s_len] = 1
mask = torch.FloatTensor(mask).to(self.device)
about the labeling schema
Hi there, very excellent reproduction work, and thank you for your sharing!
I got that there is a little inconsistency with the original MOGANED paper in labeling schema. And I wonder whether the change of labeling schema (from BIO labeling to non-BIO) would loose the evaluation criteria, and then resulting in an increase of Precision, Recall, F1? If so, is it not comparable with other people's papers due to the looser criteria?
Hope I will receive your reply soon, thank you!
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