On the problem of entity matching and its application in automated settlement of receivables

• URL: http://arxiv.org/abs/2205.10678v1
• Date: Sat, 21 May 2022 21:16:21 GMT
• Title: On the problem of entity matching and its application in automated settlement of receivables
• Authors: Lukasz Czekaj, Tomasz Biegus, Robert Kitlowski, Stanislaw Raczynski, Mateusz Olszewski, Jakub Dziedzic, Pawe{\l} Tomasik, Ryszard Kozera, Alexander Prokopenya, Robert Olszewski
• Abstract summary: We consider setup, where base algorithm is used for preliminary ranking of matches. We apply several novel methods to increase matching quality of base algorithm.
• Score: 47.187609203210705
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper covers automated settlement of receivables in non-governmental organizations. We tackle the problem with entity matching techniques. We consider setup, where base algorithm is used for preliminary ranking of matches, then we apply several novel methods to increase matching quality of base algorithm: score post processing, cascade model and chain model. The methods presented here contribute to automated settlement of receivables, entity matching and multilabel classification in open-world scenario. We evaluate our approach on real world operational data which come from company providing settlement of receivables as a service: proposed methods boost recall from 78% (base model) to >90% at precision 99%.

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