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stanford_pipeline

Program to run scraped news stories through Stanford's CoreNLP program.

The program pulls stories added to the database within the past day and that aren't currently parsed using CoreNLP. Once parsed, the parsetrees are placed back into the database. The program is currently set to proccess the first six sentences of a story.

This program makes extensive use of Brendan O'Connor's wrapper for CoreNLP. The current install comes from my (John Beieler) fork. The config file for CoreNLP makes use of the shift-reduce parser introduced in CoreNLP 3.4.

Usage

python process.py

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