Paper: Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy

ACL ID D08-1034
Title Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2008
Authors

In recent years, with the development of Chi- nese semantically annotated corpus, such as Chinese Proposition Bank and Normalization Bank, the Chinese semantic role labeling (SRL) task has been boosted. Similar to Eng- lish, the Chinese SRL can be divided into two tasks: semantic role identification (SRI) and classification (SRC). Many features were in- troduced into these tasks and promising re- sults were achieved. In this paper, we mainly focus on the second task: SRC. After exploit- ing the linguistic discrepancy between num- bered arguments and ARGMs, we built a se- mantic role classifier based on a hierarchical feature selection strategy. Different from the previous SRC systems, we divided SRC into three sub tasks in sequence and trained models for each sub task. Under the...