DPRM: DeBERTa-based potential relationship multi-headed self-attention joint extraction model. [PDF]
PLoS ONETraditional entity-relationship joint extraction models are typically designed to address generic domain data, which limits their effectiveness when applied to domain-specific applications such as manufacturing.
Songjiang Li +4 more
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Entity-Relation Joint Extraction Model Based on Span and Feature Fusion [PDF]
Jisuanji gongcheng, 2023 The entity-relationship joint extraction model plays an important role in entity-relationship extraction； however，the existing entity-relationship joint extraction model cannot effectively identify entity-relation triples in overlapping relationships ...
LIAO Tao, SUN Haojie, ZHANG Shunxiang
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Knowledge Graph Entity Type Completion Based on Neighborhood Aggregation and CNN [PDF]
Jisuanji gongcheng, 2023 Existing entity type completion models of the knowledge graph solve the entity types missing in the knowledge graph by modeling entities and entity types.However, they do not effectively use the relationships between entities, which results in the poor ...
ZOU Changlong, AN Jingmin, LI Guanyu
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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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Entity Relation Extraction Method Integrating Pre-trained Model and Attention [PDF]
Jisuanji kexue yu tansuo, 2023 Entity relationship extraction aims to detect the relationship between entities and entity pairs from unstruc-tured text. It is an important step in constructing domain knowledge map.
LI Zhijie, HAN Ruirui, LI Changhua, ZHANG Jie, SHI Haoqi
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Dual Set Prediction Networks Based Joint Extraction of Entity and Relation [PDF]
Jisuanji kexue yu tansuo, 2023 The entity and relation extraction task, which is the technical source of constructing and updating large-scale knowledge graph, aims to identify the relationship between entities from unstructured text.
PENG Yanfei, WANG Ruihua, ZHANG Ruisi
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A Joint Extraction Model for Entity Relationships Based on Span and Cascaded Dual Decoding
Entropy, 2023 The entity–relationship joint extraction model plays a significant role in entity relationship extraction. The existing entity–relationship joint extraction model cannot effectively identify entity–relationship triples in overlapping relationships.
Tao Liao, Haojie Sun, Shunxiang Zhang
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Knowledge Enhanced Relationship Prediction Model for Enterprise Entities [PDF]
Jisuanji kexue, 2023 With the development of knowledge graphs,a variety of industrial knowledge graphs have come into being.However,these industrial knowledge graphs lack sufficient relationships among enterprises,such as up-down stream relationship,supply relationship ...
WANG Jiaqi, LI Wengen, GUAN Jihong, XING Ting, WEI Xiaomin, SHAO Bingqing, FU Chongjie
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New Reverse Engineering Tool to Transform Oracle10g Code to Entity Relationship Model [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2013 Reverse engineering is one of the important operations performed on programming codes to get their design presented graphically. Reverse engineering is performed on various types of databases to get their particular designs represented by different ...
Nada Saleem, Saad Th.
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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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