1 citations · 2 across the 5 of their papers we have counts for
5 papers
CinPatent: Datasets for Patent Classification
Minh-Tien Nguyen, Nhung Bui, Manh Tran-Tien +2
Patent classification is the task that assigns each input patent into several codes (classes). Due to its high demand, several datasets and methods have been introduced. However, t…
Jointly Learning Span Extraction and Sequence Labeling for Information Extraction from Business Documents
Nguyen Hong Son, Hieu M. Vu, Tuan-Anh D. Nguyen +1
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 tak…
Enhance Incomplete Utterance Restoration by Joint Learning Token Extraction and Text Generation
Shumpei Inoue, Tsungwei Liu, Nguyen Hong Son +1
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…
A Span Extraction Approach for Information Extraction on Visually-Rich Documents
Tuan-Anh D. Nguyen, Hieu M. Vu, Nguyen Hong Son +1
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…
Transfer Learning for Information Extraction with Limited Data
Minh-Tien Nguyen, Viet-Anh Phan, Le Thai Linh +4
This paper presents a practical approach to fine-grained information extraction. Through plenty of experiences of authors in practically applying information extraction to business…