84 citations · 88 across the 4 of their papers we have counts for
4 papers
A Sequence Tagging based Framework for Few-Shot Relation Extraction
Xukun Luo, Ping Wang
Relation Extraction (RE) refers to extracting the relation triples in the input text. Existing neural work based systems for RE rely heavily on manually labeled training data, but…
RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment
Renbo Zhu, Meng Ma, Ping Wang
Entity alignment (EA) is the task to discover entities referring to the same real-world object from different knowledge graphs (KGs), which is the most crucial step in integrating…
A Bidirectional Tree Tagging Scheme for Joint Medical Relation Extraction
Xukun Luo, Weijie Liu, Meng Ma +1
Joint medical relation extraction refers to extracting triples, composed of entities and relations, from the medical text with a single model. One of the solutions is to convert th…
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu, Peng Zhou, Zhe Zhao +4
Pre-trained language representation models, such as BERT, capture a general language representation from large-scale corpora, but lack domain-specific knowledge. When reading a dom…