4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents
Hao Wang, Tang Li, Chenhui Chu +3
Key-value relations are prevalent in Visually-Rich Documents (VRDs), often depicted in distinct spatial regions accompanied by specific color and font styles. These non-textual cue…
cs.CL2021★ 1 cited
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion
Zijian Wang, Hao Wang, Xiangfeng Luo +1
Joint event and causality extraction is a challenging yet essential task in information retrieval and data mining. Recently, pre-trained language models (e.g., BERT) yield state-of…
cs.CL2019★ 4 cited
Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts
Qiongxing Tao, Xiangfeng Luo, Hao Wang
State-of-the-art methods for relation extraction consider the sentential context by modeling the entire sentence. However, syntactic indicators, certain phrases or words like prepo…