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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JLIS.it, 2016 The author revisits the development of RDA from its inception in 2005 through to its initial release in 2010. The development effort is set in the context of an evolving digital environment that was transforming both the production and dissemination of ...
Tom Delsey
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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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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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Joint Extraction Method for Chinese Entity Relationship Based on Bidirectional Semantics [PDF]
Jisuanji gongcheng, 2023 Existing Chinese entity relationship extraction methods typically use the semantic features of one-way relationships between entities for relationship extraction.However, using only one-way semantic features cannot fully utilize the semantic ...
YU Keqiang, HUANG Fang, WU Qi, OUYANG Yang
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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 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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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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Research on Entity and Relation Joint Extraction for Geological Domain [PDF]
Jisuanji gongcheng, 2023 Constructing a knowledge graph in the geological domain facilitates convenient and efficient sharing and utilization of multi-source geological knowledge, with the extraction of geological relation triples being of paramount importance.Aiming to address ...
WU Xueying, DUAN Youxiang, CHANG Lunjie, LI Shiyin, SUN Qifeng
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Teaching Method for Entity–Relationship Models Based on Semantic Network Theory
IEEE Access, 2022 Students in database courses often have difficulty learning entity–relationship (ER) modeling. According to semantic network theory, learning to construct an ER diagram for a database problem requires complex semantic transformations between the ...
Shin-Shing Shin
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