首页> 外文会议>Conceptual structures: From information to intelligence >Natural Intelligence — Commonsense Question Answering with Conceptual Graphs
【24h】

Natural Intelligence — Commonsense Question Answering with Conceptual Graphs

机译:自然智商—用概念图回答常识问题

获取原文
获取原文并翻译 | 示例

摘要

Natural Intelligence (NI) is a question answering system based on Combinatory Categorial Grammar (CCG) as the theory of grammar and Conceptual Graphs (CG) for knowledge representation and reasoning. CCG is a lexicalized theory of grammar and very suitable for semantic analysis. Conceptual Graphs is a special kind of semantic network which can express full first-order logic. It aims to address the problem of commonsense reasoning in question answering, by using the state of the art tools such as C&C tools, Cogitant and Open Cyc. C&C tools are used for parsing natural language, Cogitant is used for Conceptual Graph operations, and Open Cyc is used for upper ontology and commonsense handling.
机译:Natural Intelligence(NI)是基于组合分类语法(CCG)作为语法理论和概念图(CG)进行知识表示和推理的问答系统。 CCG是一种词汇化的语法理论,非常适合语义分析。概念图是一种特殊的语义网络,可以表达完整的一阶逻辑。它旨在通过使用最新的工具(例如C&C工具,Cogitant和Open Cyc)来解决问答中的常识推理问题。 C&C工具用于解析自然语言,Cogitant用于概念图操作,而Open Cyc用于上层本体和常识处理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号