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.
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Yu, W., Wang, C., Li, W., Xu, Z. (2009). PKUNEI – A Knowledge–Based Approach for Chinese Product Named Entity Semantic Identification. In: Li, W., Mollá-Aliod, D. (eds) Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy. ICCPOL 2009. Lecture Notes in Computer Science(), vol 5459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00831-3_28
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DOI: https://doi.org/10.1007/978-3-642-00831-3_28
Publisher Name: Springer, Berlin, Heidelberg
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