A span extraction approach for information extraction on visually-rich documents
Abstract Information extraction (IE) for visually-rich documents (VRDs) has achieved SOTA
performance recently thanks to the adaptation of Transformer-based language models …
performance recently thanks to the adaptation of Transformer-based language models …
[PDF][PDF] A Span Extraction Approach for Information Extraction on Visually-Rich Documents
TAD Nguyen, HM Vu, NH Son… - arXiv preprint arXiv …, 2021 - ask.qcloudimg.com
Information extraction (IE) from visually-rich documents (VRDs) has achieved SOTA
performance recently thanks to the adaptation of Transformer-based language models …
performance recently thanks to the adaptation of Transformer-based language models …
A Span Extraction Approach for Information Extraction on Visually-Rich Documents
TAD Nguyen, HM Vu, NH Son, MT Nguyen - International Conference on …, 2021 - dl.acm.org
Abstract Information extraction (IE) for visually-rich documents (VRDs) has achieved SOTA
performance recently thanks to the adaptation of Transformer-based language models …
performance recently thanks to the adaptation of Transformer-based language models …
[PDF][PDF] A Span Extraction Approach for Information Extraction on Visually-Rich Documents
TAD Nguyen, HM Vu, NH Son, MT Nguyen - researchgate.net
Information extraction (IE) for visually-rich documents (VRDs) has achieved SOTA
performance recently thanks to the adaptation of Transformer-based language models …
performance recently thanks to the adaptation of Transformer-based language models …
A Span Extraction Approach for Information Extraction on Visually-Rich Documents
TAD Nguyen, HM Vu, NH Son, MT Nguyen - arXiv preprint arXiv …, 2021 - arxiv.org
Information extraction (IE) for visually-rich documents (VRDs) has achieved SOTA
performance recently thanks to the adaptation of Transformer-based language models …
performance recently thanks to the adaptation of Transformer-based language models …
A Span Extraction Approach for Information Extraction on Visually-Rich Documents
TAD Nguyen, HM Vu, NH Son, MT Nguyen - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Abstract Information extraction (IE) for visually-rich documents (VRDs) has achieved SOTA
performance recently thanks to the adaptation of Transformer-based language models …
performance recently thanks to the adaptation of Transformer-based language models …