> The Jeopardy playing Watson (DeepQA pipeline) was a landmark success at Information Retrieval, its architecture is built largely on Apache UIMA and Lucene with proprietary code for scaling out (performance) and filtering & ranking. I'm not an expert on IR so I won't comment further. This is very different from Neural Nets that are all the rage in ML today.
The question I would like to ask is that if the architecture is built on UIMA and Lucence, what exactly did "Watson" do?
The question I would like to ask is that if the architecture is built on UIMA and Lucence, what exactly did "Watson" do?