Abstract
This paper focuses on named entity recognition corresponding to people, organizations, locations, etc. in Chinese scientific documents. Two key benefits are shown by performing NER: (i) improved quality of semantic retrieval, and (ii) improvement in subsequent machine translation. Experiments using the Semantex platform for information extraction illustrate and quantify the two benefits outlined. © 2008 Springer Berlin Heidelberg.
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CITATION STYLE
Srihari, R. K., & Peterson, E. (2008). Named entity recognition for improving retrieval and translation of Chinese documents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5362 LNCS, pp. 404–405). Springer Verlag. https://doi.org/10.1007/978-3-540-89533-6_56
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