Analyzing the Content of Business Documents Recognized with a Large Number of Errors Using Modified Levenshtein Distance
Crossref DOI link: https://doi.org/10.1007/978-3-030-95116-0_22
Published Online: 2022-03-30
Published Print: 2022
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Slavin, Oleg http://orcid.org/0000-0002-9541-469X
Farsobina, Vera
Myshev, Aleksei
Text and Data Mining valid from 2022-01-01
Version of Record valid from 2022-01-01
Chapter History
First Online: 30 March 2022