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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Relationship Extraction and Processing for Knowledge Graph of Welding Manufacturing [PDF]
IEEE Access, 2022 Acquiring welding domain relationships and forming a knowledge graph can positively impact complex engineering problem solving and intelligent manufacturing applications. However, relationships are lacking in the welding domain.
Kainan Guan, Liang Du, Xinhua Yang
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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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SciLinker: a large-scale text mining framework for mapping associations among biological entities [PDF]
Frontiers in Artificial IntelligenceIntroductionThe biomedical literature is the go-to source of information regarding relationships between biological entities, including genes, diseases, cell types, and drugs, but the rapid pace of publication makes an exhaustive manual exploration ...
Dongyu Liu +3 more
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Efficient chemical-disease identification and relationship extraction using Wikipedia to improve recall. [PDF]
Database (Oxford), 2016 Lowe DM, O'Boyle NM, Sayle RA.
europepmc +3 more sources
Aspect Sentiment Triplet Extraction Based on Deep Relationship Enhancement Networks [PDF]
Applied SciencesThe task of aspect-based sentiment analysis (ASBA) is to identify all the sentiment analyses expressed by specific aspect words in the text. How to identify specific objects (i.e., aspect words), describe the modifiers of the specific objects (i.e ...
Jun Peng, Baohua Su
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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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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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Self-Attention-Based Models for the Extraction of Molecular Interactions from Biological Texts
Biomolecules, 2021 For any molecule, network, or process of interest, keeping up with new publications on these is becoming increasingly difficult. For many cellular processes, the amount molecules and their interactions that need to be considered can be very large ...
Prashant Srivastava +3 more
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MULTISCALE SPATIAL RELATION EXTRACTION OF A REMOTELY SENSED WATERLINE IN A MUDDY COASTAL ZONE WITH CHONGMING DONGTAN AS AN EXAMPLE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 To address the difficulty of waterline extraction in areas with gentle slopes in the muddy coastal zone, Chongming Dongtan in the Yangtze River estuary is selected as the research object.
L. Yang, M. Li, J. Li, Y. Jiang, H. Yang
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