Dung’s theory of argumentation frameworks (AF) has been applied in many fields of artificial intelligence. The arguments and attack relation are generally partly believed due to the uncertainty in the process of mini...Dung’s theory of argumentation frameworks (AF) has been applied in many fields of artificial intelligence. The arguments and attack relation are generally partly believed due to the uncertainty in the process of mining them. Fuzzy AFs catch uncertainty in AFs by associating fuzzy degrees with the arguments or the attacks. Among the various semantics of fuzzy AFs, the comparative semantics develops and defines Dung’s extensions in the form of fuzzy sets. However, the comparative semantic system only puts forward some basic concepts, and has not been deeply studied in terms of algorithms and properties. This paper studies the comparative semantics of fuzzy AFs based on the Łukasiewicz t-norm in a more in-depth and comprehensive manner. This work is not only a supplement and improvement to comparative semantic in theory, but also beneficial to the calculation and fast identification of its various extensions (based on the Łukasiewicz t-norm).展开更多
As a subtask of information extraction (IE), which aims to extract structured information from texts, event extraction is to recognize event trigger mentions of a predefined event type and their arguments. In general,...As a subtask of information extraction (IE), which aims to extract structured information from texts, event extraction is to recognize event trigger mentions of a predefined event type and their arguments. In general, event extraction can be divided into two subtasks: trigger extraction and argument extraction. Currently, the frequent existences of unannotated trigger mentions and poor-context trigger mentions impose critical challenges in Chinese trigger extraction. This paper proposes a novel three-layer joint model to integrate three components in trigger extraction, i.e., trigger identification, event type determination, and event subtype determination. In this way, different kinds of evidence on distinct pseudo samples can be well captured to eliminate the harmful effects of those un-annotated trigger mentions. In addition, this paper introduces various types of linguistically driven constraints on the trigger and argument semantics into the joint model to recover those poor-context trigger mentions. The experimental results show that our joint model significantly outperforms the state-of-the-art Chinese trigger extraction and Chinese event extraction as a whole.展开更多
作为科学论文内容的组成部分,论证结构揭示了科学论文内的重要观点、结论及其论证过程,是论文内蕴含的一类重要隐性知识。规范描述和准确表征论文内的论证结构,对于科学论文的语义增强、语义检索和基于文献的知识发现具有重要意义。本...作为科学论文内容的组成部分,论证结构揭示了科学论文内的重要观点、结论及其论证过程,是论文内蕴含的一类重要隐性知识。规范描述和准确表征论文内的论证结构,对于科学论文的语义增强、语义检索和基于文献的知识发现具有重要意义。本文针对科学论文的论证结构,基于通用的论证理论,在复用多个出版物相关本体的基础上,构建了一个新颖的论证本体(scientific paper argumentation ontology,SAO),包括7个核心类、13个扩展类和15种关系。为了评估SAO本体的可用性,本研究选择图书情报与生物医学领域的40篇科学论文进行了语义标注应用实验。统计结果表明,SAO本体具有较强的论证单元和论证结构的表达能力,不同领域的科学论文的论证结构相似,但存在一定差异。展开更多
文摘Dung’s theory of argumentation frameworks (AF) has been applied in many fields of artificial intelligence. The arguments and attack relation are generally partly believed due to the uncertainty in the process of mining them. Fuzzy AFs catch uncertainty in AFs by associating fuzzy degrees with the arguments or the attacks. Among the various semantics of fuzzy AFs, the comparative semantics develops and defines Dung’s extensions in the form of fuzzy sets. However, the comparative semantic system only puts forward some basic concepts, and has not been deeply studied in terms of algorithms and properties. This paper studies the comparative semantics of fuzzy AFs based on the Łukasiewicz t-norm in a more in-depth and comprehensive manner. This work is not only a supplement and improvement to comparative semantic in theory, but also beneficial to the calculation and fast identification of its various extensions (based on the Łukasiewicz t-norm).
文摘As a subtask of information extraction (IE), which aims to extract structured information from texts, event extraction is to recognize event trigger mentions of a predefined event type and their arguments. In general, event extraction can be divided into two subtasks: trigger extraction and argument extraction. Currently, the frequent existences of unannotated trigger mentions and poor-context trigger mentions impose critical challenges in Chinese trigger extraction. This paper proposes a novel three-layer joint model to integrate three components in trigger extraction, i.e., trigger identification, event type determination, and event subtype determination. In this way, different kinds of evidence on distinct pseudo samples can be well captured to eliminate the harmful effects of those un-annotated trigger mentions. In addition, this paper introduces various types of linguistically driven constraints on the trigger and argument semantics into the joint model to recover those poor-context trigger mentions. The experimental results show that our joint model significantly outperforms the state-of-the-art Chinese trigger extraction and Chinese event extraction as a whole.
文摘作为科学论文内容的组成部分,论证结构揭示了科学论文内的重要观点、结论及其论证过程,是论文内蕴含的一类重要隐性知识。规范描述和准确表征论文内的论证结构,对于科学论文的语义增强、语义检索和基于文献的知识发现具有重要意义。本文针对科学论文的论证结构,基于通用的论证理论,在复用多个出版物相关本体的基础上,构建了一个新颖的论证本体(scientific paper argumentation ontology,SAO),包括7个核心类、13个扩展类和15种关系。为了评估SAO本体的可用性,本研究选择图书情报与生物医学领域的40篇科学论文进行了语义标注应用实验。统计结果表明,SAO本体具有较强的论证单元和论证结构的表达能力,不同领域的科学论文的论证结构相似,但存在一定差异。
