Paper: Refining Grammars for Parsing with Hierarchical Semantic Knowledge

ACL ID D09-1135
Title Refining Grammars for Parsing with Hierarchical Semantic Knowledge
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

This paper proposes a novel method to refine the grammars in parsing by utiliz- ing semantic knowledge from HowNet. Based on the hierarchical state-split ap- proach, which can refine grammars au- tomatically in a data-driven manner, this study introduces semantic knowledge into the splitting process at two steps. Firstly, each part-of-speech node will be anno- tated with a semantic tag of its termi- nal word. These new tags generated in this step are semantic-related, which can provide a good start for splitting. Sec- ondly, a knowledge-based criterion is used to supervise the hierarchical splitting of these semantic-related tags, which can al- leviate overfitting. The experiments are carried out on both Chinese and English Penn Treebank show that the refined gram- mars with semantic knowl...