Knowledge Commons of Institute of Automation,CAS
A Global Generative Model for Chinese Semantic Role Labeling | |
Yang HT(杨海彤); Zong, Chengqing | |
2014 | |
会议名称 | Proceedings of The 3rd CCF Conference on Natural Language Processing & Chinese Computing |
会议录名称 | Proceedings of The 3rd CCF Conference on Natural Language Processing & Chinese Computing |
会议日期 | 2014-11 |
会议地点 | Shen Zhen |
摘要 |
The predicate and its semantic roles compose a unified entity that conveys the semantics of a given sentence. A standard pipeline of current approaches to semantic role labeling (SRL) is that for a given predicate in a sentence, we can extract features for each candidate argument and then perform the role classification through a classifier. However, this process totally ignores the integrality of the predicate and its semantic roles. To address this problem, we present a global generative model in which a novel concept called Predicate-Arguments-Coalition (PAC) is proposed to encode the relations among individual arguments. Owing to PAC, our model can effectively mine the inherent properties of predicates and obtain a globally consistent solution for SRL. We conduct experiments on the standard benchmarks: Chinese PropBank. Experimental results on a single syntactic tree show that our model outperforms the state-of-the-art methods. |
关键词 | Global Generative Model |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/41199 |
专题 | 多模态人工智能系统全国重点实验室_自然语言处理 |
通讯作者 | Zong, Chengqing |
推荐引用方式 GB/T 7714 | Yang HT,Zong, Chengqing. A Global Generative Model for Chinese Semantic Role Labeling[C],2014. |
条目包含的文件 | 条目无相关文件。 |
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