BERT-PAGG: a Chinese relationship extraction model fusing PAGG and entity location information [PDF]
PeerJ Computer Science, 2023 Relationship extraction is one of the important tasks of constructing knowledge graph. In recent years, many scholars have introduced external information other than entities into relationship extraction models, which perform better than traditional ...
Bin Xu +3 more
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Multiple kernels learning-based biological entity relationship extraction method [PDF]
Journal of Biomedical Semantics, 2017 Background Automatic extracting protein entity interaction information from biomedical literature can help to build protein relation network and design new drugs.
Xu Dongliang +2 more
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A Labeled Graph Kernel for Relationship Extraction [PDF]
, 2013 In this paper, we propose an approach for Relationship Extraction (RE) based on labeled graph kernels. The kernel we propose is a particularization of a random walk kernel that exploits two properties previously studied in the RE literature: (i) the ...
Gonçalo Simões +2 more
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Retracted: An Entity Relationship Extraction Model Based on BERT-BLSTM-CRF for Food Safety Domain. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +3 more sources
Exploring COVID-related relationship extraction: Contrasting data sources and analyzing misinformation. [PDF]
HeliyonSharma T +3 more
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A Survey on Recent Named Entity Recognition and Relationship Extraction Techniques on Clinical Texts
Applied Sciences, 2021 Significant growth in Electronic Health Records (EHR) over the last decade has provided an abundance of clinical text that is mostly unstructured and untapped.
Priyankar Bose +5 more
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A General Model for Entity Relationship and Event Extraction [PDF]
Jisuanji gongcheng, 2023 The purpose of information extraction is to find specific information from natural language files.Existing research has only focused on solving the problem of event argument overlap and entity relationship overlap in the entity relationship and event ...
YANG Hongju, JIN Xinyu
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Method for Sequence Tagging Relationship Extraction Based on Mogrifier LSTM [PDF]
Jisuanji gongcheng, 2022 Making full use of the context information in the text can improve the relationship extraction performance.However, most current methods for deep-learning-based relationship extraction only capture the shallow feature information in the text sequence ...
FANG Yiqiu, LIU Fei, GE Junwei
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ISPRS International Journal of Geo-Information, 2022 The outbreak of COVID-19 (coronavirus disease 2019) has generated a large amount of spatiotemporal data. Using a knowledge graph can help to analyze the transmission relationship between cases and locate the transmission path of the pandemic, but ...
Xiaorui Yang +3 more
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Distantly Supervised Relationship Extraction Combined with Residual BiLSTM and Sentence Bag Attention [PDF]
Jisuanji gongcheng, 2022 Entity relationship extraction entails identifying the semantic relationship between entities from unstructured and programmed massive texts and can provide data support for ontology construction, intelligent retrieval, and other tasks.However, the ...
JIANG Xu, QIAN Xuezhong, SONG Wei
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