汉语句义结构模型及其验证

为解决计算机理解和表达汉语句义的问题,以现代汉语语义学理论为基础,探索和创建了一种计算机可计算、可扩展的汉语句义结构模型,该模型从句义层次上描述构成句子的词、子句、分句在句义中承担的句义任务,句子描述对象的时空特征、谓词的时态以及不同句义成分之间的组合关系等,形成了一种抽象句义的结构化表达形式;同时,提出了一种基于反向提问的句义结构模型验证方法,用疑问词替换语义格迭代构成问句,再对问句进行评价.实验结果表明,对简单句义、复杂句义和多重句义的反向提问正确率达到92.07%,充分说明句义结构模型的合理性. 

Chinese Sentential Semantic Mode and Verification

The requirement of deep language understanding is more and more important in the fields of information auto-processing and information security. To solve the difficulty of computer understanding Chinese sentential semantics, this paper proposes a computable and extensible Chinese sentential semantic mode (BFS-CSM), which is based on the theory of modern Chinese semantics. In addition, a reversed question based sentential semantic structure method is put forward to verify the correctness of proposed BFS-CSM. Experimental results show that the precision of the verification method is 92.07% and the rationality of proposed mode is confirmed. This research provides a new way of thinking for Chinese natural language processing and has important applied value.