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"""
example of using corenlp server from python

This code requires server to already be running: https://stanfordnlp.github.io/CoreNLP/corenlp-server.html
To start server:
java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000

To call it, e.g.:
curl --data "The man wanted to go to work." 'http://localhost:9000/?properties={%22annotators%22%3A%22tokenize%2Cssplit%2Cpos%2Cdepparse%22%2C%22outputFormat%22%3A%22conllu%22}'

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http://brenocon.com/confsize,,,"Numer of paper submissions and acceptances for various conferences over time.  Trying to only select full-length or ""main"" research papers, though others are sometimes included.
The first several columns are the main data.  Sources on the right.  Sometimes I tried to put in original source data in different columns.  Sometimes data contradicts",,,,,,,,,,,,,,,,,,,,,,,,,,
area,conference,year,submit,accept,accept rates - some are messy or partial from copy-and-paste,joint,attendance,source/notes,other notes,other notes,other notes,other notes,other notes,other notes,,,,,,,,,,,,,,,
,,,,,,,,,https://dl.acm.org/citation.cfm?id=2766462&picked=source&preflayout=tabs,https://dl.acm.org/citation.cfm?id=312624,the ACM table:,,,,,,,,,,,,,,,,,,
,,,,,,,,,,,Year,Submitted,Accepted,Rate,,,,,,,,,,,,,,,
webir,sigir,1999,135,33,,,,https://dl.acm.org/citation.cfm?id=312624,,22nd annual,SIGIR '99,135,33,24%,,,,,,,,,,,,,,,
webir,sigir,2000,??,??,,,,https://dl.acm.org/citation.cfm?id=345508&picked

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package util;

import java.io.Serializable;
import java.lang.management.ManagementFactory;
import java.nio.ByteBuffer;
import java.util.*;

/**
 * An RNG class that's faster and hopefully better than java.util.Random.
 * 

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phrase h;  ## immediate head
phrase s;  ## subject
phrase o;  ## object
phrase f;  ## function word
phrase k;  ## `kind' -- potential partitive complement


###  Level 0: tags;
###  Level 1: date cdqlx cdx doll ci-st mx;

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"""
Make plots with the "Google Image Charts" API.
The functions here return a URL.  That URL will then throw a PNG back at you.
So embed them in <img src=...> or whatever.

This uses the "Google Image Charts API," formerly known as "Google Charts API",
which is officially deprecated and has been since 2012, I guess:
https://en.wikipedia.org/wiki/Google_Chart_API
https://developers.google.com/chart/image/
So look out I guess.  But it is a MUCH better quick-and-simple API than their

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NLP and source code papers, very scattered and partial listing
(collected by Nathan Schneider and Brendan O'Connor)


ICML 2014
Maddison and Tarlow
Structured Generative Models of Natural Source Code
http://jmlr.org/proceedings/papers/v32/maddison14.pdf

ACL 2013

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r"""
stdin: IDs of tweets to get (whitespace or line separated)
stdout: the tweets as two-column TSV:  ID \t TweetJSON

This retrieves tweets using the API.

If there was an error when retrieving a message - most prominently, if the
message is now deleted -- the error information is saved as JSON.  Therefore
there should be exactly as many output lines as there are input IDs.