fatihbozdag

> Could you give some more details? Would that be something like https://python.arviz.org/en/latest/api/generated/arviz.plot_lm.html but using errorbars instead of shaded regions or scatters from the posterior predictive samples? Something like the...

Update, On CoreNLP demo page, I got the correct results. However, the result is still inaccurate on CoreNLP Python wrapper '`Stanza`'. CoreNLP demo page;  Stanza; ``` import stanza nlp...

Sure, I will try with different sentences. How should I send you the results? Collect them in a text file?

So far, I've tried more than 30 sentences. There are problematic ones ( `"deprel": "acl:relcl"`) ``` import stanza nlp = stanza.Pipeline('en') 2022-09-07 02:33:31 INFO: Loading these models for language: en...

Alright then, I will update this post as I try more sentences. I guess the problem is mostly related to two distinct patterns, for instance; '`what + dependent clause, independent...

Another inaccurate one. This one actually is a sample sentence (Page 3) from [Stanford typed dependencies manual](https://downloads.cs.stanford.edu/nlp/software/dependencies_manual.pdf). It was exemplified as: “That she lied was suspected by everyone” csubjpass_(suspected, lied)_"...

Greetings, I still get the same error, I've already check pull request yet I did not really get how to solve the problem. Can you please guide me? Thanks.

> Hi all, I have the same error. After checking what is inside `matches` (it's really a list of list of int, i.e. `[[1, 0, 3]]`, but not a list...

For those who might need, For now, I dumped idata with `pickle`, ran `model.predict()` on local computer utilizing ssd as virtual memory, and added `posterior_predict `to idata, dumped with pickle...

Is there an update on this issue? Rather than two, I'd like to work on 4 categories. Is it possible?