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S3QA is a scalable UIMA framework to extract representations from textual data and apply learning algorithms upon them. S3QA is intended for deployment in a computer cluster. When computing 20+ similarities and parse trees on hundreds of instances, the computation time of S3QA gets reduced from 167.71 to 13.18 seconds when running on 20 machines (as opposed to stand-alone).

The following sections provide with an overall overview of the features and know-how of S3QA.