Importance

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Abstract

Embodiments provide a system and method for question and answer (QA) generation. Using a cognitive system having natural language processing capabilities, the QA generation system can analyze a corpus of documents, which can each have one or more headings, sub-headings, and fact statements. By analyzing the structural relationships of the one or more headings, the QA generation system can score each fact statement against the headings to score the one or more facts for use as ground truths. Strong facts, with multiple relationships to the one or more headings, can serve as the primary basis for the ground truth established for a particular knowledge domain or sub-domain. Facts can be scored based on their lexical answer type score, their header relevance score, their relationship score, their structure score, and their domain header relevance score.

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First Claim