A Concept-Based Knowledge Representation Model for Semantic Entailment Inference
文献类型：会议论文
| 作者 | 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)
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| 出版日期 | 2014 |
| 会议名称 | Proceedings of 33rd Control Conference (CCC),Chinese, 2014 |
| 会议日期 | 2014,0728-0730 |
| 会议地点 | 南京 |
| 关键词 | Semantic inference Knowledge Representation Concept CKR Semantic entailment |
| 页码 | 522 - 527 |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议录 | Proceedings of 33rd Control Conference (CCC),Chinese, 2014
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| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/11215]  |
| 专题 | 自动化研究所_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 |
| 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]. 见:Proceedings of 33rd Control Conference (CCC),Chinese, 2014. 南京. 2014,0728-0730. |
入库方式： OAI收割
来源：自动化研究所
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