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cs.CL2020
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…
cs.CL2020
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…
cs.CL2019
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…