Abstract
In this paper we proposed a method for building Chinese semantic treebank for patent text. On the basis of 3 Dimensional Dynamic Concept Model, we designed the semantic relations tagging sets with chunk as tagging object for patent translation. We proposed a top-down process for manually tagging and a standard for processing treebank, which is used for the level partition of a sentence and also can reflect core words. Building semantic treebank for patent text is very important for fully exploiting useful information of the patent text.
This paper was supported by the National Key Science & Technology Pillar Program No.2012BAH14F05.
This paper was supported by the National Basis Research Program under Project Number 2010CB530401-1.
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Wang, Y., Cai, D., Feng, H., Zhou, Q., Wei, M. (2014). Building Chinese Semantic Treebank for Patent Text on the Basis of 3 Dimensional Dynamic Concept Model. In: Su, X., He, T. (eds) Chinese Lexical Semantics. CLSW 2014. Lecture Notes in Computer Science(), vol 8922. Springer, Cham. https://doi.org/10.1007/978-3-319-14331-6_37
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DOI: https://doi.org/10.1007/978-3-319-14331-6_37
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