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# Running PropS as part of a pipeline
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PropS now supports pipelining from a dependency parser which produces output
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- conforming with [ Stanford's CORENLP json output format] ( https://stanfordnlp.github.io/CoreNLP/cmdline.html ) .
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+ conforming with [ Stanford's CORENLP json output format] ( https://stanfordnlp.github.io/CoreNLP/cmdline.html ) < sup >1</ sup > .
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This allows for an independent, light-weight, and hopefully easier to install version of PropS.
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## Installation
@@ -50,3 +50,7 @@ To use it on a sample raw input file, try:
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** NOTE** :
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* We use the Stanford dependency format (not Universal Dependencies)
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* We use the makeCopulaHead flag
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+
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+ <sup >1</sup >Specifically, we read the following keys from the json:
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+ * tokens
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+ * basicDependencies
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