A syntax and semantics linking algorithm for the chinese language

Abstract

Many statistics-based approaches have been proposed to label semantic roles automatically. For language lack of large-scale semantically annotated corpora, e.g. Chinese, these approaches do not work well. In this paper we proposed an unsupervised syntax and semantic linking algorithm, and make full use of current Chinese language resources to equip it with detailed linking knowledge. Therefore, the semantic role labeling task can be attributed to a data-driven application of the linking algorithm. Some preliminary experiment results demonstrate the ability of the linking algorithm for the automatic semantic role labeling on current Chinese treebank. © Springer-Verlag Berlin Heidelberg 2005.