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Acknowledgment to Reviewers of Machine Learning and Knowledge Extraction in 2021
Machine Learning and Knowledge Extraction, 2022 Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Machine Learning and Knowledge Extraction Editorial Office
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Acknowledgment to the Reviewers of Machine Learning and Knowledge Extraction in 2022
Machine Learning and Knowledge Extraction, 2023 High-quality academic publishing is built on rigorous peer review [...]
Machine Learning and Knowledge Extraction Editorial Office
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Applied Sciences, 2023 The task of accurately identifying medical entities and extracting entity relationships from large-scale medical text data has become a hot topic in recent years, aiming to mine potential rules and knowledge. How to conduct in-depth context analysis from
Ling Wang +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 While the analysis and understanding of multispectral (i.e., optical) remote sensing images have made considerable progress during the last decades, the automated analysis of synthetic aperture radar (SAR) satellite images still needs some innovative ...
Corneliu Dumitru +2 more
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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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Fault knowledge graph construction for coal mine fully mechanized mining equipment
Gong-kuang zidonghua, 2023 The existing fault diagnosis methods for coal mine fully mechanized mining equipment lack systematic management and application of historical fault data of fully mechanized mining equipment.
CAI Anjiang, ZHANG Yan, REN Zhigang
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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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IEEE Access, 2023 The aviation assembly domain, which is a complex system, involves the multi-dimensional information of parts, processes, tools, plants and operation projects.
Peifeng Liu +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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