material ID: funsd

Related Papers

LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractPre-training of text and layout has proved effective in a variety of visually-rich document understanding tasks due to its effective model architecture and the advantage of large-scale unlabeled scanned/digital-born documents. …...

8680

Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractRecognizing the layout of unstructured digital documents is crucial when parsing the documents into the structured, machine-readable format for downstream applications. Recent studies in Document Layout Analysis usually rely on …...

4961

FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractSequence modeling has demonstrated state-of-the-art performance on natural language and document understanding tasks. However, it is challenging to correctly serialize tokens in form-like documents in practice due to their variety …...

39118