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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Entity Linking Method for Chinese Short Text Based on Siamese-Like Network
Information, 2022 Entity linking plays a fundamental role in knowledge engineering and data mining and is the basis of various downstream applications such as content analysis, relationship extraction, question and answer.
Yang Zhang, Jin Liu, Bo Huang, Bei Chen
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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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Study on Enhanced Entity Representation for Document-level Relation Extraction [PDF]
Jisuanji kexue, 2023 Document-level relation extraction is a hot and challenging issue in natural language processing.Graph-based model is one of the mainstream methods of document-level relation extraction.Although this method can effectively solve the long-distance ...
DING Xiaoyao, ZHOU Gang, LU Jicang, CHEN Jing
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A Novel Joint Extraction Model for Entity Relations Using Interactive Encoding and Visual Attention
IEEE Access, 2023 Relationship extraction is a fundamental task in natural language processing, with applications ranging from knowledge graph construction to information retrieval. Existing entity-relationship joint extraction models have made significant strides in this
Youren Yu +3 more
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