Results 351 to 360 of about 3,002,087 (370)
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On Graph-Based Name Disambiguation
Journal of Data and Information Quality, 2011Name ambiguity stems from the fact that many people or objects share identical names in the real world. Such name ambiguity decreases the performance of document retrieval, Web search, information integration, and may cause confusion in other applications.
Xiaoming Fan +4 more
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Named Entity Recognition as Graph Classification
2021Injecting real-world information (typically contained in Knowledge Graphs) and human expertise into an end-to-end training pipeline for Natural Language Processing models is an open challenge. In this preliminary work, we propose to approach the task of Named Entity Recognition, which is traditionally viewed as a Sequence Labeling problem, as a Graph ...
Ismail Harrando, Raphaël Troncy
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IEEE Internet of Things Journal, 2023
Social networks are an essential component of the Internet of People (IoP) and play an important role in stimulating interactive communication among people.
Kefan Wang +5 more
semanticscholar +1 more source
Social networks are an essential component of the Internet of People (IoP) and play an important role in stimulating interactive communication among people.
Kefan Wang +5 more
semanticscholar +1 more source
Few-Shot Learning for Fault Diagnosis With a Dual Graph Neural Network
IEEE Transactions on Industrial Informatics, 2023Mechanical fault diagnosis is crucial to ensure the safe operations of equipment in intelligent manufacturing systems. Deep learning-based methods have been recently developed for fault diagnosis due to their advantages in feature representation. However,
Han Wang +5 more
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Statistical estimation of the names of HTTPS servers with domain name graphs
Computer Communications, 2016We present the domain name graph (DNG), which is a formal expression that can keep track of CNAME chains and characterize the dynamic and diverse nature of DNS mechanisms and deployments.We develop a framework called Service-Flow map (SFMap) that works on top of the DNG.
Tatsuya Mori +6 more
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A deep learning method for predicting metabolite-disease associations via graph neural network
Briefings Bioinform., 2022Metabolism is the process by which an organism continuously replaces old substances with new substances. It plays an important role in maintaining human life, body growth and reproduction.
Feiyue Sun, Jianqiang Sun, Qi Zhao
semanticscholar +1 more source
2011
We address how the structure of a social communication system affects language coordination. The naming game is an abstraction of lexical acquisition dynamics, in which N agents try to find an agreement on the names to give to objects. Most results on naming games are specific to certain communication network topologies.
William H. Batchelder, Giorgio Gosti
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We address how the structure of a social communication system affects language coordination. The naming game is an abstraction of lexical acquisition dynamics, in which N agents try to find an agreement on the names to give to objects. Most results on naming games are specific to certain communication network topologies.
William H. Batchelder, Giorgio Gosti
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The Mathematics Teacher, 1995
If the reader recognizes immediately the function in figure 1, then what follows may be anticlimactic. But 1f anythmg seems peculiar, some interesting surprises may be in store. A check of a few textbooks reveals a neglect of function, whose lessons are overlooked.
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If the reader recognizes immediately the function in figure 1, then what follows may be anticlimactic. But 1f anythmg seems peculiar, some interesting surprises may be in store. A check of a few textbooks reveals a neglect of function, whose lessons are overlooked.
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GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
arXiv.orgEvaluating and enhancing the general capabilities of large language models (LLMs) has been an important research topic. Graph is a common data structure in the real world, and understanding graph data is a crucial part for advancing general intelligence.
Zihan Luo +7 more
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An Approach for Named Entity Disambiguation with Knowledge Graph
2018 International Conference on Audio, Language and Image Processing (ICALIP), 2018Entity disambiguation has always been a key issue in the field of semantic analysis, question answering and recommendation system. The existing approaches for entity disambiguation are based on similarity calculation. The similarity is calculated by considering the similarity of entity context, or the correlation between entities.
Ke Zhang +4 more
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