Results 21 to 30 of about 387,911 (299)
IEEE Access, 2023 As an important research field of artificial intelligence, knowledge graph develops rapidly, and triplet extraction is the key to the construction of a knowledge graph. The traditional pipeline extraction method will bring the error of entity recognition
Yibo Liu, Feng Wen, Teng Zong, Taowei Li
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Creation of intelligent information decision support systems [PDF]
E3S Web of Conferences, 2023 The use of intelligent information decision support systems implies considering the problem area's specifics. The object of study is characterized by the following set of features: - quality and efficiency of decision-making; - vagueness of goals and ...
Sultanov Murodjon +3 more
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Answer Extraction Method for Reading Comprehension Based on Frame Semantics and GraphStructure [PDF]
Jisuanji kexue, 2023 Machine reading comprehension is one of the most challenging tasks in the field of natural language processing.With the continuous development of deep learning technology and the release of large-scale MRC datasets,the performance of MRC models keep ...
YANG Zhizhuo, XU Lingling, Zhang Hu, LI Ru
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Applied Sciences, 2023 In recent years, joint entity–relation extraction (ERE) models have become a hot research topic in natural language processing (NLP). Several studies have proposed a span-based ERE framework, which utilizes simple span embeddings for entity and relation ...
Yaqin Zhu +5 more
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IEEE Access, 2023 In response to the issues of poor content correlation and insufficient intelligent decision support in emergency plans for water conservancy projects, a method for intelligent generation of emergency plans based on knowledge graphs is proposed. Utilizing
Lihu Wang +5 more
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Integrating and Supporting Entity Relationship and Object Role Models
, 1995 This paper describes the conceptual integration and computer-based support of two important groups of conceptual data models, Entity Relationship Models and Object Role Models (e.g. NIAM).
John R. Venable, John C. Grundy
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Knowledge Graph Completion Based on Half-Edge Principle [PDF]
Jisuanji gongcheng, 2020 Existing knowledge graph completion algorithms are time-consuming and inaccurate.To address these problems,this paper proposes a multi-layer convolution model based on half-edge.The model introduces the half-edge principle,and uses the descriptive ...
CHENG Tao, CHEN Heng, LI Guanyu
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Chinese Nested Named Entity Recognition Based on Location Embedding and Multilevel Prediction [PDF]
Jisuanji gongcheng, 2023 Traditional Chinese nested Named Entity Recognition(NER) models often face problems, such as difficulty in accurately locating entity boundaries and blurred boundaries between Chinese characters and vocabulary.
Jianyong DUAN, Yifei ZHU, Hao WANG, Li HE, Xin LI
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Entity Alignment Based on Dynamic Graph Attention and Label Propagation [PDF]
Jisuanji gongchengEntity alignment is an effective approach for multi-source database fusion with the aim of identifying co-referring entities in multi-source knowledge graphs. Recently, Graph Convolutional Network (GCN) have emerged as a new paradigm for entity alignment
MO Shaocong, CHEN Qingfeng, XIE Ze, LIU Chunyu, QIU Junlai
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InformationIn the field of databases, Large Language Models (LLMs) have recently been studied for generating SQL queries from textual descriptions, while their use for conceptual or logical data modeling remains less explored.
Andrea Avignone +3 more
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