Results 11 to 20 of about 1,934,537 (295)
Open Domain Knowledge Extraction for Knowledge Graphs
CoRR, 2023 7 pages, 7 figures, 5 tables, preprint technical report, no code or data is ...
Kun Qian 0002 +17 more
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A Review in Knowledge Extraction from Knowledge Bases
Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Processings, 2023 Generative language models achieve the state of the art in many tasks within natural language processing (NLP). Although these models correctly capture syntactic information, they fail to interpret knowledge (semantics). Moreover, the lack of interpretability of these models promotes the use of other technologies as a replacement or complement to ...
Fabio Yanez +4 more
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Knowledge Extraction via Decentralized Knowledge Graph Aggregation [PDF]
2021 IEEE 15th International Conference on Semantic Computing (ICSC), 2021 In many industrial manufacturing processes, human operators play a central role when it comes to parameterizing the involved machinery and dealing with errors in the process. However, large parts of the acquired process knowledge are tacit, leading to difficulties sharing the knowledge between operators.
Richard Nordsieck +3 more
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Towards Unsupervised Knowledge Extraction [PDF]
AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2020 CEUR-WS.org/Vol ...
Tsatsou, Dorothea +5 more
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A Novel Patent Knowledge Extraction Method for Innovative Design
IEEE Access, 2023 As an important source of inspiration, the great number of patent documents provides designers with valuable knowledge of design rationale (DR), including issues, intent, pros and cons of the solutions.
Gaofeng Yue +3 more
doaj +1 more source
A real-time decision support system for bridge management based on the rules generalized by CART decision tree and SMO algorithms [PDF]
AUT Journal of Mathematics and Computing, 2020 Under dynamic conditions on bridges, we need a real-time management. To this end, this paper presents a rule-based decision support system in which the necessary rules are extracted from simulation results made by Aimsun traffic micro-simulation software.
Shadi Abpeykar, Mehdi Ghatee
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Construction and application of knowledge graph for coal mine equipment maintenance
Gong-kuang zidonghua, 2021 Using big data management system to manage coal mine equipment maintenance information lacks the ability to express coal mine equipment maintenance knowledge, has not formed a relatively complete coal mine equipment maintenance knowledge management ...
CAO Xiangang +4 more
doaj +1 more source
CoRR, 2016 A constantly growing amount of information is available through the web. Unfortunately, extracting useful content from this massive amount of data still remains an open issue. The lack of standard data models and structures forces developers to create adhoc solutions from the scratch.
Juan Manuel Tirado +3 more
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Ontology-Based Knowledge Acquisition Method for Natural Language Texts
Цифровая трансформация, 2023 The main task of knowledge acquisition (also named knowledge extraction) from natural language texts is to extract knowledge from natural language texts into fragment of knowledge base of intelligent system.
Longwei Qian
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Corrosion Rate Prediction with artificial Neural Network Case: Crude Oil Distillation Overhead Systems [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2006 This paper uses neural network to predict corrosion rate. Corrosion can not modeled easily, because of wide range of causes either known or unknown.
Mahmood Alborzi, Seyed Amir Reza Abtahi
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