Results 1 to 10 of about 803,882 (321)
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. [PDF]
Adv Neural Inf Process Syst, 2023 Images contain rich relational knowledge that can help machines understand the world. Existing methods on visual knowledge extraction often rely on the pre-defined format (e.g., sub-verb-obj tuples) or vocabulary (e.g., relation types), restricting the expressiveness of the extracted knowledge.
Cui H +9 more
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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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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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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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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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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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Advanced Semantics for Commonsense Knowledge Extraction [PDF]
Proceedings of the Web Conference 2021, 2021 Commonsense knowledge (CSK) about concepts and their properties is useful for AI applications such as robust chatbots. Prior works like ConceptNet, TupleKB and others compiled large CSK collections, but are restricted in their expressiveness to subject-predicate-object (SPO) triples with simple concepts for S and monolithic strings for P and O.
Nguyen, T., Razniewski, S., Weikum, G.
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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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Towards Unsupervised Knowledge Extraction
AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2020 22-24 marzo ...
Tsatsou, Dorothea +5 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 ...
Yáñez Romero, Fabio +4 more
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