68 citations · 192 across the 5 of their papers we have counts for
5 papers
BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge
Huiqiang Jiang, Guoxin Wang, Weile Chen +2
While named entity recognition (NER) is a key task in natural language processing, most approaches only target flat entities, ignoring nested structures which are common in many sc…
LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding
Yiheng Xu, Tengchao Lv, Lei Cui +5
Multimodal pre-training with text, layout, and image has achieved SOTA performance for visually-rich document understanding tasks recently, which demonstrates the great potential f…
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Yang Xu, Yiheng Xu, Tengchao Lv +9
Pre-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-s…
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu, Zijia Lin, Guoxin Wang +4
For languages with no annotated resources, transferring knowledge from rich-resource languages is an effective solution for named entity recognition (NER). While all existing metho…
CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
Yuying Zhu, Guoxin Wang, Börje F. Karlsson
Named entity recognition (NER) in Chinese is essential but difficult because of the lack of natural delimiters. Therefore, Chinese Word Segmentation (CWS) is usually considered as…