21 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document
Xiangnan Chen, Qian Xiao, Juncheng Li +4
Visual Relation Extraction (VRE) is a powerful means of discovering relationships between entities within visually-rich documents. Existing methods often focus on manipulating enti…
cs.CL2022★ 21 cited
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction
Yunzhi Yao, Shengyu Mao, Ningyu Zhang +4
With the development of pre-trained language models, many prompt-based approaches to data-efficient knowledge graph construction have been proposed and achieved impressive performa…
cs.CL2021★ 2 cited
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning
Xin Xie, Xiangnan Chen, Xiang Chen +4
This paper presents our systems for the three Subtasks of SemEval Task4: Reading Comprehension of Abstract Meaning (ReCAM). We explain the algorithms used to learn our models and t…