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很感谢作者对DocEE的贡献～，ACL2021中除了GIT之外，还有一篇DEPPN效果也还不错，并且是使用的并行解码的策略，会快不少。它的代码也是继承自Doc2EDAG，DEPPN：https://github.com/HangYang-NLP/DE-PPN
不知道作者是否有计划将其集成到目前这个toolkit～
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https://www.microsoft.com/en-us/research/uploads/prod/2021/06/mrs_acl2021_zhang.pdf
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Hi,
Thanks for your great dataset for sentence simplification. I read your paper in ACL2021 and I am wondering where can I find Minwiki dataset. In paper ACL2021, I saw that you indicated that in …
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layoutlmv2 related work
structralral related work
![image](https://user-images.github…
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你们删掉了吗？什么时候再次开源？
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While running test.py, I keep getting this error message.
File "test.py", line 67, in
sample = test_db[_k]
File "/export/home/yidansun/ABCD-ACL2021/data.py", line 244, in __getitem__
…
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Hi, thanks for the coming soon source code.
I have two questions about the sequence length dynamic adjustment.
1. I got the point that you use two consecutive `[eos]`s to indicate the end of the …
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ghost updated
3 years ago
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I was trying to run the MIMIC-50 examples and provided the data in the same format as specified.
There are two extra files apart from training data files which are vocab.csv and processed_full.embed…
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您好，感谢开源模型代码！我在复现时遇到了一点问题：
代码中脚本下载w2v2.0模型的地址：
http://sf3-ttcdn-tos.pstatp.com/obj/nlp-opensource/acl2021/chimera
似乎已经失效，我自己在：
https://github.com/pytorch/fairseq/blob/main/examples/wav2vec/README.m…