… business documents. Different from prior studies which only base on span extraction or
sequence labeling, … and sequence labeling. The combination allows the model to deal with long …

… business operations more efficient. This problem can be formulated as a sequence
labeling task, and we demonstrate the adaption of BERT to two types of business documents: …

… Major logistics companies have greater business needs to … business system will help improve
the logistics industry's operational capabilities. In this paper, four sets of sequence labeling …

… We present a solution to the problem of automatically labeling the constituent name parts
and their semantic role within German company names. To this end we propose and evaluate …

… on the labeling quality of activities in business process models. However, there are other
model elements like events and data objects that should be subject to label quality assurance. …

… task, which extracts information in long Japanese documents. … and property lease agreement
documents. To do that, the extraction was formulated as a sequence labeling task, in which …

… business documents and extracts relevant information of them. Automating document …
Yt = { yt0,yt1, ...,ytl} as the true labels of a sentence of length L, and a sequence of predicted …

… The final integrates this document understanding approach to a global system that analyzes
business letters and scientific papers with the aim to convert them to standard formats and …

… Recent works on deep learning applied to business documents … than sequence labeling,
we decided to compare our work to more classical classification approaches from the document …

… document flows. Particularly, tables contain most valuable information of business documents.
… field extraction that starts with the sequence of document tokens segmented by an OCR …