Yi Zhou, Guanghui Lan
INFORMS 2021
IT service providers sell high-valued service contracts to customers. Since the value of a contract can reach into millions of dollars, they need to be monitored continuously for spend leakage. Spend-leakage is a loss resulting from a mismatch in terms between contracts and invoices. Our work uses an NLP model to extract information from contracts as a step in spend-leakage triaging. The method utilizes a customer profile database, extraction tags, and template outline to accurately extract industry-specific information into in a template format. The extracted template information is checked using human-in-the-loop (HITL) and is then passed into a NLP model as training labels.
Yi Zhou, Guanghui Lan
INFORMS 2021
Gang Wang, Fei Wang, et al.
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Atsuyoshi Nakamura, Naoki Abe
Electronic Commerce Research
Kun Wang, Juwei Shi, et al.
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