International Business Machines Corporation
MACHINE-LEARNING BASED PROCESSING AND REPORTING OF PROPOSAL DATA

Abstract:

An embodiment parses request data representative of a request for proposal (RFP) and extracts attribute data representative of an RFP attribute that corresponds to an entity of interest in a qualification taxonomy using a cognitive process to evaluate the RFP using natural language processing. The embodiment generates answer data representative of an answer to a first question of a qualification questionnaire related to the entity of interest using the RFP attribute. The embodiment constructs the answer data based at least in part on a response pattern associated with the first question, and computes a score for the answer to the first question based at least in part on a confidence value generated by the cognitive process. The embodiment then outputs the qualification questionnaire, including the answer and the score, allowing for review by a Subject Matter Expert (SME), and allowing the cognitive process to learn from the SME review.