@@ -12,22 +12,27 @@ The package also contains a base class to expose a python-based annotation
1212provider (e.g. your favorite neural NER system) to the CoreNLP
1313pipeline via a lightweight service.
1414
15+ To use the package, first download the `official java CoreNLP release
16+ <https://stanfordnlp.github.io/CoreNLP/#download> `_, unzip it, and define an environment
17+ variable :code: `$CORENLP_HOME ` that points to the unzipped directory.
18+ 1519----
1620
1721Annotation Server Usage
1822-----------------------
1923
2024.. code-block :: python
2125
22- from corenlp import CoreNLPClient
26+ import corenlp
2327
2428 text = " Chris wrote a simple sentence that he parsed with Stanford CoreNLP."
2529
26- # We assume that you've defined a variable $JAVANLP_HOME
27- # that points to a Stanford CoreNLP checkout.
30+ # We assume that you've downloaded the Stanford CoreNLP package from
31+ # `https://stanfordnlp.github.io/CoreNLP/` and defined an environment
32+ # variable $CORENLP_HOME that points to the unzipped directory.
2833 # The code below will launch StanfordCoreNLPServer in the background
2934 # and communicate with the server to annotate the sentence.
30- with CoreNLPClient(annotators = " tokenize ssplit" as client:
35+ with corenlp. CoreNLPClient(annotators = " tokenize ssplit" as client:
3136 ann = client.annotate(text)
3237
3338 # You can access annotations using ann.
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