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## Bug report
In your GraphQL-Example is this example:
```
type DocumentEntity {
id: ID
attributes: Document
}
type DocumentEntityResponse {
data: DocumentEntity
}
type Docume…
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您好，我最近阅读了《Automatic-Software-Vulnerability-Assessment-by-Extracting-Vulnerability-Elements》这篇论文，有所启发。您能分享这篇论文的代码吗，非常感谢。
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If I understand correctly, one difference between espeak's g2p system and gruut is that if a word is not present in the dictionary, espeak uses a set of rules based on letter groups while gruut uses a…
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~~Exploring master thesis topic!~~ With **Honors** bsc, also msc **With Honors** potential! Only thesis grade needs to be high. _Zero_ courses to be done. 12 months of msc dedicated focus. [Honor thes…
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At some point in the development of the Python language, someone decided it would be a good idea to write down aphorisms that crystallize many of its important design principles. [The Zen of Python](h…
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感谢作者分享的代码，对我的学习研究工作有很大的帮助。在readme最后的Paper realization中看到了Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers这篇论文，请问在代码中哪里进行了改进，另外实体识别模型中，不知道我理解的对不对，为什么用了softmax分类而不是crf呢？
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Hi, thank you for the great work! I have a few concerns after reading the paper:
1. There seem to be many similar problems in the test set, which raises a question: isn’t it problematic to use data…
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Sounds like a plan! Focusing on getting the workflow running and creating a Streamlit GUI to interact with and tweak the workflow is a great step forward. Here's an outline of the next steps you can t…
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## Information
The question or comment is about chapter:
* [ ] Introduction
* [* ] Text Classification
* [ ] Transformer Anatomy
* [ ] Multilingual Named Entity Recognition
* [ ] Text Genera…
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## Information
The problem arises in chapter:
* [ ] Introduction
* [ ] Text Classification
* [ ] Transformer Anatomy
* [ ] Multilingual Named Entity Recognition
* [ ] Text Generation
* [ ] …