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Relevancy training for whole documents is one thing, however allowing for relevancy training on passages would in my view greatly increase the power of WDS. We find a lot of use cases where the correct document is returned, but we need WDS to return the most relevant passage from that document, but the accuracy for passage retrieval (defined as, if the returned passage is what would be expected from a manual human search of the doc) is less satisfactory. This feature would greatly assist with handling long tail questions for chat bots, and scaling bots with the WA + WDS design pattern. I would be interested to know how feasible this feature is.
Train Watson to improve results feature in Watson Discovery Service
Currently, I can train Watson on document level. Can that be extended to passage level? Sometimes, the first passage that is getting extracted is not the relevant passage. It would be great if I could train Watson on passage level as well.
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