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Semantics-aware BERT for Language Understanding (AAAI 2020)

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I have downloaded the pre-trained model from https://drive.google.com/open?id=1Yn-WCw1RaMxbDDNZRnoJCIGxMSAOu20_ and https://s3-us-west-2.amazonaws.com/allennlp/models/srl-model-2018.05.25.tar.gz accessed here, and tried to re-produce the experiment on SNLI dataset with the following environment settings: python 3.6 allennlp 0.8.1...

# Patching CVE-2007-4559 Hi, we are security researchers from the Advanced Research Center at [Trellix](https://www.trellix.com). We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a...

Dear developers, Unfortunately I cannot get your code to work, that is, none of the examples from the readme. After solving other errors, I get stuck on the assertion error...

在modeling.py的1129行附近 #first_token_tensor = sequence_output[:, 0] first_token_tensor, pool_index = torch.max(sequence_output, dim=1) 我调试看到sequence_output是一个[8,46,1034]维的tensor,为什么要用在1维上的max来处理它呢?这样会把不同token的第三维混合吧。 一般不是用cls来获得全句的语义信息吗?就像注释前的那样。 而且我按照目前的代码复现了,效果非常棒,就让我更想不通了,不用cls为什么可以有这么优秀的效果。 谢谢作者!

执行tagger_offline的时候总是报错ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on.这个怎么解决?有时候是可以标注的,大多数时候不能。