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A Joint Extraction System Based on Conditional Layer Normalization for Health Monitoring [PDF]
Sensors, 2023 Natural language processing (NLP) technology has played a pivotal role in health monitoring as an important artificial intelligence method. As a key technology in NLP, relation triplet extraction is closely related to the performance of health monitoring.
Binbin Shi +7 more
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Joint Extraction of Cyber Threat Intelligence Entity Relationships Based on a Parallel Ensemble Prediction Model [PDF]
SensorsThe construction of knowledge graphs in cyber threat intelligence (CTI) critically relies on automated entity–relation extraction. However, sequence tagging-based methods for joint entity–relation extraction are affected by the order-dependency problem ...
Huan Wang +4 more
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JMIR Medical Informatics, 2022 BackgroundEvent extraction is essential for natural language processing. In the biomedical field, the nested event phenomenon (event A as a participating role of event B) makes extracting this event more difficult than extracting ...
Yan Wang +6 more
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Joint extraction model of entity relations based on decomposition strategy [PDF]
Scientific ReportsNamed entity recognition and relation extraction are two important fundamental tasks in natural language processing. The joint entity-relationship extraction model based on parameter sharing can effectively reduce the impact of cascading errors on model ...
Ran Li +6 more
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Pansharpening Based on Joint-Guided Detail Extraction [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Pansharpening is the process of fusing low spatial resolution multispectral (MS) images with high spatial resolution panchromatic (PAN) images, so as to obtain high spatial resolution multispectral (HRMS) images.
Yong Yang +3 more
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Joint extraction of Chinese medical entities and relations based on RoBERTa and single-module global pointer [PDF]
BMC Medical Informatics and Decision MakingBackground Most Chinese joint entity and relation extraction tasks in medicine involve numerous nested entities, overlapping relations, and other challenging extraction issues.
Dongmei Li +6 more
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Family history information extraction via deep joint learning [PDF]
BMC Medical Informatics and Decision Making, 2019 Background Family history (FH) information, including family members, side of family of family members (i.e., maternal or paternal), living status of family members, observations (diseases) of family members, etc., is very important in the decision ...
Xue Shi +6 more
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Joint Extraction Method for Chinese Medical Events [PDF]
Jisuanji kexue, 2021 The popularization of electronic clinical medical records (EMRs) makes it possible to use automated ways to quickly extract high-value information from EMRs.As a kind of crucial medical information,tumor medical event is typically composed of a series of
YU Jie, JI Bin, LIU Lei, LI Sha-sha, MA Jun, LIU Hui-jun
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Joint Extraction of Entities and Relations Based on Enhanced Span and Gate Mechanism
Applied Sciences, 2023 Although entity and relation joint extraction can obtain relational triples efficiently and accurately, there are a number of problems; for instance, the information between entity relations could be transferred better, entity extraction based on span is
Nan Zhang +3 more
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An Easy Partition Approach for Joint Entity and Relation Extraction
Applied Sciences, 2023 The triplet extraction (TE) task aims to identify the entities and relations mentioned in a given text. TE consists of two tasks: named entity recognition (NER) and relation classification (RC).
Jing Hou, Xiaomeng Deng, Pengwu Han
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