Results 11 to 20 of about 812,084 (287)
Hybrid Deep Learning Approach for Accurate Tumor Detection in Medical Imaging Data
Diagnostics, 2023 The automated extraction of critical information from electronic medical records, such as oncological medical events, has become increasingly important with the widespread use of electronic health records. However, extracting tumor-related medical events
Mehmet Akif Cifci +2 more
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Combining joint models for biomedical event extraction [PDF]
BMC Bioinformatics, 2012 We explore techniques for performing model combination between the UMass and Stanford biomedical event extraction systems. Both sub-components address event extraction as a structured prediction problem, and use dual decomposition (UMass) and parsing algorithms (Stanford) to find the best scoring event structure.
McClosky, David +4 more
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Extraction of Joint Entity and Relationships with Soft Pruning and GlobalPointer
Applied Sciences, 2022 In recent years, scholars have paid increasing attention to the joint entity and relation extraction. However, the most difficult aspect of joint extraction is extracting overlapping triples.
Jianming Liang +3 more
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Joint vanishing point extraction and tracking [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 We present a novel vanishing point (VP) detection and tracking algorithm for calibrated monocular image sequences. Previous VP detection and tracking methods usually assume known camera poses for all frames or detect and track separately. We advance the state-of-the-art by combining VP extraction on a Gaussian sphere with recent advances in multi ...
Till Kroeger, Dengxin Dai, Luc Van Gool
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RTJTN: Relational Triplet Joint Tagging Network for Joint Entity and Relation Extraction
Computational Intelligence and Neuroscience, 2021 Extracting entities and relations from unstructured sentences is one of the most concerned tasks in the field of natural language processing. However, most existing works process entity and relation information in a certain order and suffer from the error iteration.
Zhenyu Yang +5 more
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A Study on Double-Headed Entities and Relations Prediction Framework for Joint Triple Extraction
Mathematics, 2023 Relational triple extraction, a fundamental procedure in natural language processing knowledge graph construction, assumes a crucial and irreplaceable role in the domain of academic research related to information extraction.
Yanbing Xiao +6 more
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Joint Event Extraction with Hierarchical Policy Network [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 Most existing work on event extraction (EE) either follows a pipelined manner or uses a joint structure but is pipelined in essence. As a result, these efforts fail to utilize information interactions among event triggers, event arguments, and argument roles, which causes information redundancy.
Peixin Huang +4 more
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Applied Sciences, 2022 Aiming at the problems of heavy workload of medical staff in the process of venous thrombosis prevention and treatment, error evaluation, missed evaluation, and inconsistent evaluation, we propose a joint extraction model of Chinese electronic medical ...
Jiawei Chen, Jianhua Yang, Jianfeng He
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Joint learning-based causal relation extraction from biomedical literature
Journal of Biomedical Informatics, 2023 15 pages, 3 ...
Dongling Li +5 more
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Deep learning models for spatial relation extraction in text
Geo-spatial Information Science, 2023 Spatial relation extraction is the process of identifying geographic entities from text and determining their corresponding spatial relations. Traditional spatial relation extraction mainly uses rule-based pattern matching, supervised learning-based or ...
Kehan Wu +3 more
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