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Actually this was probably due to some sort of memory error- I guess maybe with segment sizes that are too large. I suppose coreNLP has some sort of persistent state that grows in size slowly as it runs...? Either way #13 still seems useful to quickly implement before trying again...
Or has really big spikes in memory usage? Either way I will try splitting into smaller chunks (some balance between saving on coreNLP startup time & ideally smaller seg size) and keeping a server local register for recovery
This run seems to have gone through almost the entire process with no errors, and I still can't find the suspect error/exception in the output logs...
This time it is not due to memory or disk space as before.
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