Title :
Chinese Semantic Dependency Relation System and Treebank Construction
Author :
Shao, Yanqiu ; Qiu, Likun ; Liang, Chunxia
Author_Institution :
Inst. of Artificial Intell., Beijing City Univ., Beijing, China
Abstract :
Deep semantic parsing is the key to understand sentence meaning. This paper integrates some Chinese semantic relation systems given by different scholars, and presents a more comprehensive system for semantic dependency parsing. The new semantic relation system includes the definition for the situation that a verb acts as a modifier and a verbal noun acts as the center of the noun phrase. According to the relation system, a large scale Chinese semantic dependency relation tree bank is constructed by the combination of automatic and manual means. This semantic dependency tree bank will become a basis of studying deep semantic parsing.
Keywords :
natural language processing; Chinese semantic dependency relation system; noun phrase; semantic dependency parsing; sentence meaning; treebank construction; verbal noun; Artificial intelligence; Educational institutions; Labeling; Manuals; Semantics; Syntactics; Tagging; semantic analysis; semantic dependency; semantic dependency treebank; semantic relation;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
Conference_Location :
Lyon
Print_ISBN :
978-1-4577-1373-6
Electronic_ISBN :
978-0-7695-4513-4
DOI :
10.1109/WI-IAT.2011.92