5 papers
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text
Shengbin Jia, Ling Ding, Xiaojun Chen +2
Chinese word segmentation is necessary to provide word-level information for Chinese named entity recognition (NER) systems. However, segmentation error propagation is a challenge…
Unique Chinese Linguistic Phenomena
Shengbin Jia
Linguistics holds unique characteristics of generality, stability, and nationality, which will affect the formulation of extraction strategies and should be incorporated into the r…
Hybrid Neural Tagging Model for Open Relation Extraction
Shengbin Jia, Yang Xiang
Open relation extraction (ORE) remains a challenge to obtain a semantic representation by discovering arbitrary relation tuples from the unstructured text. Conventional methods hea…
Triple Trustworthiness Measurement for Knowledge Graph
Shengbin Jia, Yang Xiang, Xiaojun Chen
The Knowledge graph (KG) uses the triples to describe the facts in the real world. It has been widely used in intelligent analysis and applications. However, possible noises and co…
Chinese User Service Intention Classification Based on Hybrid Neural Network
Shengbin Jia, Yang Xiang
In order to satisfy the consumers' increasing personalized service demand, the Intelligent service has arisen. User service intention recognition is an important challenge for inte…