Výsledky vyhledávání - "Son Nguyen Hong"

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Jointly Learning Span Extraction and Sequence Labeling for Information Extraction from Business Documents

Autor: Son, Nguyen Hong, Vu, Hieu M., Nguyen, Tuan-Anh D., Nguyen, Minh-Tien

This paper introduces a new information extraction model for business documents. Different from prior studies which only base on span extraction or sequence labeling, the model takes into account advantage of both span extraction and sequence labelin

Externí odkaz: http://arxiv.org/abs/2205.13434

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Enhance Incomplete Utterance Restoration by Joint Learning Token Extraction and Text Generation

Autor: Inoue, Shumpei, Liu, Tsungwei, Son, Nguyen Hong, Nguyen, Minh-Tien

This paper introduces a model for incomplete utterance restoration (IUR) called JET (\textbf{J}oint learning token \textbf{E}xtraction and \textbf{T}ext generation). Different from prior studies that only work on extraction or abstraction datasets, w

Externí odkaz: http://arxiv.org/abs/2204.03958

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A Span Extraction Approach for Information Extraction on Visually-Rich Documents

Autor: Nguyen, Tuan-Anh D., Vu, Hieu M., Son, Nguyen Hong, Nguyen, Minh-Tien

Information extraction (IE) for visually-rich documents (VRDs) has achieved SOTA performance recently thanks to the adaptation of Transformer-based language models, which shows the great potential of pre-training methods. In this paper, we present a

Externí odkaz: http://arxiv.org/abs/2106.00978

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Transfer Learning for Information Extraction with Limited Data

Autor: Nguyen, Minh-Tien, Phan, Viet-Anh, Linh, Le Thai, Son, Nguyen Hong, Dung, Le Tien, Hirano, Miku, Hotta, Hajime

This paper presents a practical approach to fine-grained information extraction. Through plenty of experiences of authors in practically applying information extraction to business process automation, there can be found a couple of fundamental techni

Externí odkaz: http://arxiv.org/abs/2003.03064

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The method of detecting online password attacks based on high-level protocol analysis and clustering techniques

Autor: Son, Nguyen Hong, Dung, Ha Thanh

Publikováno v: International Journal of Computer Networks & Communications (IJCNC) Vol.11, No.6, November 2019

Although there have been many solutions applied, the safety challenges related to the password security mechanism are not reduced. The reason for this is that while the means and tools to support password attacks are becoming more and more abundant,

Externí odkaz: http://arxiv.org/abs/1912.02036

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