How to use StanfordCoreNLPServer to load scenegraph library

[chaojiewang94]

I wanna to construct a StanfordCoreNLPServer, which has preloaded scenegraph, how to achice this?

I have tried the command "
java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer
-preload scenegraph
-status_port 9000 -port 9000 -timeout 15000 &
"
but it seems to be failed

[AngledLuffa]

It's the same problem as on the stanza side. The code to run scenegraph in a server simply doesn't exist.

I'm sure you've found this already, but there are instructions on how to run it here:

https://nlp.stanford.edu/software/scenegraph-parser.shtml

That's the only thing that exists currently. We could theoretically include it in a server, but until you came along, there was never any request for that. What are you looking for that the CLI and the API don't provide?

[chaojiewang94]

I wonder if you can include the following two APIs in NLPserver
``
import edu.stanford.nlp.scenegraph.RuleBasedParser;
import edu.stanford.nlp.scenegraph.SceneGraph;
''
so that I can preload them as the same as other APIs like tokenize,ssplit,pos,lemma,ner in https://github.com/nltk/nltk/wiki/Stanford-CoreNLP-API-in-NLTK

then I use the serve to transfer a sentence into scene graph in Python, just like this

``
from nltk.parse import CoreNLPParser

sentence = "A brown fox chases a white rabbit."

parser = CoreNLPParser(url='http://localhost:9000')
sg = parser.scenegraph_parse(sentence)

print(sg.toReadableString())
''

It will be helpful for us to cite your work in https://nlp.stanford.edu/software/scenegraph-parser.shtml
thanks

@AngledLuffa

[chaojiewang94]

Sorry for misunderstaing, I just wanna to parse a sentence into a scene graph with Python @AngledLuffa

[AngledLuffa]

can do, but it will be at least a week until we make that available

[chaojiewang94]

thanks for your help, looking forward to your reply @AngledLuffa

[AngledLuffa]

Sorry for the long delay.  Spring quarter was quite busy (we did submit a couple drafts out of work we had done, so that was good).  I have time to pick this up again, and after looking over scenegraph, I think I can put something together.
There's a text output format and a json output format which would both be easy to make available in python.  There are a couple different ways of doing it:

• standalone java program with a corresponding python interface. easier to run, but can only be run locally
• add it to server itself.  a little more complicated, allows you to run the server in a separate process or on a separate machine

Which of these would be more useful, assuming you even still need this upgrade?

[chaojiewang94]

Thanks for your reply, I wonder if you can include the scene graph parser into stanza? so that I can directly use it after intalling stanza?

[AngledLuffa]

One way or another, it'll require having the Java implementation of SceneGraph, as there really isn't any impetus to update the project for python & deep learning in the group

[chaojiewang94]

I wonder if you can include the following two APIs in NLPserver `` import edu.stanford.nlp.scenegraph.RuleBasedParser; import edu.stanford.nlp.scenegraph.SceneGraph; '' so that I can preload them as the same as other APIs like tokenize,ssplit,pos,lemma,ner in https://github.com/nltk/nltk/wiki/Stanford-CoreNLP-API-in-NLTK

then I use the serve to transfer a sentence into scene graph in Python, just like this

`` from nltk.parse import CoreNLPParser

sentence = "A brown fox chases a white rabbit."

parser = CoreNLPParser(url='http://localhost:9000') sg = parser.scenegraph_parse(sentence)

print(sg.toReadableString()) ''

It will be helpful for us to cite your work in https://nlp.stanford.edu/software/scenegraph-parser.shtml thanks

@AngledLuffa

can u implement like this, maybe the second way?

[AngledLuffa]

You can see what I did in the two changes listed above. If you have a CoreNLP server created, or if you create one using the Stanza API, you can then call client.scenegraph(text) and it will get a result.

It occurs to me that I don't actually know if the SceneGraph parser is threadsafe. 🤷

[AngledLuffa]

It might be a little time before the next official release, but I can make some sort of temporary package available if you'd use it in the short term