... semistructured documents such as invoices and receipts have been extensively studied, tax notices represent a largely unexplored area due to their information richness and layout complexity. This article presents a study investigating the potential of deep learning-based information extraction for German real...

... A. Vasarhelyi. 1 1 2021 1 6 2021 2022 artificial intelligence deep learning earnings prediction recurrent neural networks (RNN) XBRL financial statement analysis Improvement of financial statement analysis modeling, by creating more advanced and comprehensive models...

... and other irregularities. public procurement bidding contractor neural networks deep learning Government has the fiduciary obligation to provide goods, services, and infrastructures for social development and the welfare of citizens, such as road and rail construction, healthcare...

...Ting Sun ABSTRACT Using a deep-learning-based textual analyzer provided by IBM Watson, this paper obtains scores measuring the overall sentiment and emotion of “joy” from the transcripts of conference calls and uses them as additional predictors of internal control material weaknesses (ICMWs...

... of deep learning in conjunction with much faster machines and dimensionally larger storage spaces (and samples). The area of auditing has lagged business adoption in the past ( Oldhouser 2016 ), but is prime for partial automation due to its labor intensiveness and range of decision structures. Several...