Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Vu, Hieu M."'
Autor:
Nguyen, Dat, Vu, Hieu M., Le, Cong-Thanh, Le, Bach, Lo, David, Nguyen, ThanhVu, Pasareanu, Corina
We propose GNNInfer, the first automatic property inference technique for GNNs. To tackle the challenge of varying input structures in GNNs, GNNInfer first identifies a set of representative influential structures that contribute significantly toward
Externí odkaz:
http://arxiv.org/abs/2401.03790
Autor:
Nguyen, Bao-Sinh, Le, Dung Tien, Vu, Hieu M., Nguyen, Tuan Anh D., Nguyen, Minh-Tien, Le, Hung
Successful Artificial Intelligence systems often require numerous labeled data to extract information from document images. In this paper, we investigate the problem of improving the performance of Artificial Intelligence systems in understanding doc
Externí odkaz:
http://arxiv.org/abs/2209.12561
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
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
Autor:
Vu, Hieu M., Nguyen, Diep Thi-Ngoc
FUNSD is one of the limited publicly available datasets for information extraction from document im-ages. The information in the FUNSD dataset is defined by text areas of four categories ("key", "value", "header", "other", and "background") and conne
Externí odkaz:
http://arxiv.org/abs/2010.05322