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hey, thanks for so wonderful work.
if i want to train such a experiment on chinese dataset of ontonotes 5.0, how can i do it ?
thanks.
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If I want to support Chinese, then what do I need to do.
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When I use the Chinese coreference resolution function, I found that there is no result and the value of parseTree is garbled.
code
```
from stanza.server import CoreNLPClient
text = "奥巴马是美国的总统…
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Example: https://mila.quebec/en/publications/
It would be nice to reuse the same code as in the Mila website. Not sure if that's 'easily' possible via RTD
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Hi, I'm trying to use this library for a project where I would need corefence resolution. I was testing out the test.py file and this kept on showing indefinitely, how do I fix this?
Thanks in adva…
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Hi all,
Is it possible to train AllenNLP's coreference resolver with custom data? What format does the custom data have to be in? And finally, if it is possible how do I accomplish it? Thank you very…
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I wanna train a Chinese coreference resolution model, but I have not the OntoNote 5.0 corpus ...
So I want to know whether you have pre-trained Chinese model, or OntoNote 5.0 corpus..
Thanks you ver…
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Hi,
I successfully trained a new Italian coreference model following [these instructions](https://github.com/huggingface/neuralcoref/blob/master/neuralcoref/train/training.md).
The only output of…
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When parsing a bit of text with accents, I get the wrong tokens. For instance, with the code:
```
tokens %
plot_tree(token, lemma, POS)
```
![image](https://user-images.githubuserco…
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I started the server by the command:
`java -mx8g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000`
WhenI submitted the following text: 小明吃了个冰棒，它很甜。
![qq 201801292…