PKUNEI --- A Knowledge---Based Approach for Chinese Product Named Entity Semantic Identification

Authors:
Wenyuan Yu;Cheng Wang;Wenxin Li;Zhuoqun Xu
Affiliations:
Key Laboratory of Machine Perception, Peking University, Beijing, China 100871;Key Laboratory of Machine Perception, Peking University, Beijing, China 100871;Key Laboratory of Machine Perception, Peking University, Beijing, China 100871;Key Laboratory of Machine Perception, Peking University, Beijing, China 100871
Venue:
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Year:
2009

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Abstract

We present the idea of Named Entity Semantic Identification that is identifying the named entity in a knowledge base and give a definition of this idea. Then we introduced PKUNEI - an approach for Chinese product named entity semantic identification. This approach divided the whole process into 2 separate phases: a role-model based NER phase and a query-driven semantic identification phase. We describe the model of NER phase, the automatically building of knowledge base and the implementation of semantic identification phase. The experimental results demonstrate that our approach is effective for the semantic identification task.