nefujiangping / encattagg Goto Github PK
View Code? Open in Web Editor NEWCodes for ICKG 2020 paper "Improving Document-level Relation Extraction via Contextualizing Mention Representations and Weighting Mention Pairs"
Codes for ICKG 2020 paper "Improving Document-level Relation Extraction via Contextualizing Mention Representations and Weighting Mention Pairs"
首先非常感谢您共享了代码!结合论文看了代码,有几个问题想请教一下:
1.mutual_attender和integration_attender 部分的代码,一个是公式4一个是公式6,代码核心都是实现Transformer的一个Encoder层,为什么mutual_attender没有和integration_attender 一样使用nn.TransformerEncoderLayer呢?
2.models.py中的TwoLayerLinear是实现公式7吗,但没有看到LogSumExp这个公式的实现部分,还是LogSumExp在哪里实现了我没看见呢?
期待您的回复,感谢!
Thanks for your great work. Since we some people cannot access your paper because it is not free of charge in IEEE, could you provide your results on DocRED / CDR for reference?
Thank you for sharing! I can't find the 'modeling' package at runtime, and I can't install it using pip and conda. Is this package customized or installed from? Hope you can help me, thank you!
Hello, thank you for your sharing. I would like to ask how to set the value of bert_feature during bert training, thank you!
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