Robotic process automation of unstructured data with machine learning

• Autorzy: Wróblewska, A. , Stanisławek, T. , Prus-Zajączkowski, B. , Garncarek, Ł.
• Konferencja: Federated Conference on Computer Science and Information Systems (09-12.09.2018 ; Poznań, Poland)
• Języki publikacji: EN

Abstrakty

EN

In this paper we present our work in progress on building an artificial intelligence system dedicated to tasks regarding the processing of formal documents used in various kinds of business procedures. The main challenge is to build machine learning (ML) models to improve the quality and efficiency of business processes involving image processing, optical character recognition (OCR), text mining and information extraction. In the paper we introduce the research and application field, some common techniques used in this area and our preliminary results and conclusions.

Słowa kluczowe

PL

sztuczna inteligencja; nauczanie maszynowe; optyczne rozpoznawanie znaków

EN

artificial intelligence; machine learning; optical character recognition

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2018
• Tom: Vol. 16
• Strony: 9--16
• Opis fizyczny: Bibliogr. 33 poz., rys., wz., tab.

Twórcy

autor

Wróblewska, A.

• Faculty of Mathematics and Information Science, Warsaw University of Technology, ul. Koszykowa 75, Warszawa, Poland,
• Applica.ai, ul. Wiślana 8, Warszawa, Poland

autor

Stanisławek, T.

• Faculty of Mathematics and Information Science, Warsaw University of Technology, ul. Koszykowa 75, Warszawa, Poland,
• Applica.ai, ul. Wiślana 8, Warszawa, Poland

autor

Prus-Zajączkowski, B.

• Faculty of Mathematics and Information Science, Warsaw University of Technology, ul. Koszykowa 75, Warszawa, Poland,
• Applica.ai, ul. Wiślana 8, Warszawa, Poland

autor

Garncarek, Ł.

• Applica.ai, ul. Wiślana 8, Warszawa, Poland,

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Uwagi

1. Track: Preface

2. Technical Session: 13th International Symposium Advances in Artificial Intelligence and Applications

Identyfikatory

DOI

10.15439/2018F373