Named Entity Recognition for Improving Retrieval and Translation of Chinese Documents

Authors:
Rohini K. Srihari;Erik Peterson
Affiliations:
State University of New York at Buffalo, Buffalo, NY, USA;Janya Inc., Buffalo, NY, USA
Venue:
ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information
Year:
2008

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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.