摘要
文本蕴含识别是处理自然语言中广泛存在的同义异形现象的一种有效途径。该文基于FrameNet中框架及框架之间的八种关系,结合WordNet中词汇间的语义关系,提出了一种文本蕴含识别方法。在给定文本T和假设H中词元激起的框架基础上,该方法利用深度优先搜索,在FrameNet框架关系图中,查询T和H中框架之间的上下位关系;再使用WordNet中语义关系比较二者的框架元素是否一致或相似。实验对RTE2007中50个文本对进行了测试,达到了76.6%的准确率,略高于RTE2007评测的最优结果。
This paper proposes a text entailment identification method using the frames and the frames relations in FrameNet together with the relevant knowledge with WordNet.The method finds the path between the frames evoked by the lexical units in text T and hypothesis H in the FrameNet Graph via depth-first search algorithm to identify the hyponymy relationships between the frames;Then it realizes the text entailment recognition through comparing the content of span which are filled in the mapping FE slots.Our experiments are based on certain parts of the evaluation corpus of RET2007.The experimental results reach 76.6% precision,which is consistent with the best results of RET2007 evaluation results in the task of ＂Recognize Text Entailment＂.
出处
《中文信息学报》
CSCD
北大核心
2012年第2期46-50,共5页
Journal of Chinese Information Processing
基金
国家自然科学基金资助项目(60970053)
国家语委"十二五"科研规划项目(YB125-19)
山西省国际科技合作项目(2010081044)
山西省实验室开放基金资助项目(2009011059-4)
