A Concept-Based Knowledge Representation Model for Semantic Entailment Inference | |
Zhao MJ(赵美静); Ni WC(倪晚成); Zhang HD(张海东); Yang YP(杨一平); Ni WC(倪晚成) | |
2014 | |
会议名称 | Proceedings of 33rd Control Conference (CCC),Chinese, 2014 |
会议录名称 | Proceedings of 33rd Control Conference (CCC),Chinese, 2014 |
页码 | 522 - 527 |
会议日期 | 2014,0728-0730 |
会议地点 | 南京 |
摘要 | Semantic entailment is a fundamental problem in natural language understanding that has a large number of applica-tions. Knowledge acquisition and knowledge representation are usually the crucial parts in semantic inference strategy. This paper presents a principled approach to semantic entailment problem that builds on a concept-based knowledge representation model (CKR). This model formally defines the concept as a triple (attribute, relation and behavior) and the knowledge of a concept can be illustrated with the triple. We propose a semantic inference strategy that against identify text segments which dissimilar on their surface form but share a common meaning. The inference strategy avoids syntactic analysis steps. A prelim-inary evaluation on the PASCAL text collection is presented. Experimental results show that our concept-based inference strat-egy is effective and has strong potential space. |
关键词 | Semantic Inference Knowledge Representation Concept Ckr Semantic Entailment |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/11215 |
专题 | 综合信息系统研究中心 |
通讯作者 | Ni WC(倪晚成) |
作者单位 | 中国科学院自动化研究所 |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhao MJ,Ni WC,Zhang HD,et al. A Concept-Based Knowledge Representation Model for Semantic Entailment Inference[C],2014:522 - 527. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
A Concept-Based Know(433KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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