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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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A review on knowledge and information extraction from PDF documents and storage approaches
Frontiers in Artificial IntelligenceIntroductionAutomating the extraction of information from Portable Document Format (PDF) documents represents a major advancement in information extraction, with applications in various domains such as healthcare, law, or biochemistry.
Salvador D. Atagong +7 more
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Knowledge-poor and knowledge-rich approaches for multilingual terminology extraction [PDF]
, 2013 International audienceIn this paper, we study terminology extraction in all its states. We present two terminology extraction tools to compare a knowledge-poor vs. a knowledge-rich approach.
Daille, Béatrice, Blancafort, Helena
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Extracting knowledge from web communities and linked data for case-based reasoning systems [PDF]
, 2013 The recent developments of Web 2.0, has driven the web\ud content from its static and formalised nature to a highly user-driven nature.\ud Such web content includes blogs, forum posts and tweets which\ud are mostly expressed in an unsystematic manner ...
Roth-Berghofer, Thomas +3 more
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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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