Students: Boyd Ching

Faculty Advisor or Community Project Lead: Martin Cenek


This is a report on the progress of our research and senior capstone based in the field of natural language processing. There are multiple natural language processing frameworks available and free to use, however for a typical user it can be difficult to decide which may be the best for a job.

It takes time to learn the interface and the most easiest to use framework does not always give the most accurate results. We present a heuristics of evaluating multiple frameworks on a component by component basis. With the outline defined in this paper we hope others can use this as a reference for creating further evaluations and as a peek at the current top of the line
capabilities of NLP frameworks today.



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