Results 11 to 20 of about 92,161 (217)
An Improved Approach to the Construction of Chinese Medical Knowledge Graph Based on CTD-BLSTM Model
IEEE Access, 2021 In the process of constructing the knowledge graph, entity recognition and relationship extraction are not only the most fundamental but also the most important tasks, and the effect of their model directly affects the final result of the graph.
Yang Wu, Xiyong Zhu, Yinan Zhu
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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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Design and Build a Database Management System for Computer Science Department Students [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2011 Student's system has been analyzed and A database was designed according to their registration, study and lectures attending , with full documentation to their degrees, the information of undergraduate study in computer science department students ...
Ryan Yaacoub, Muhammad Sultan
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IEEE Access, 2023 As an important research field of artificial intelligence, knowledge graph develops rapidly, and triplet extraction is the key to the construction of a knowledge graph. The traditional pipeline extraction method will bring the error of entity recognition
Yibo Liu, Feng Wen, Teng Zong, Taowei Li
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Complexity, 2021 To identify relationships among entities in natural language texts, extraction of entity relationships technically provides a fundamental support for knowledge graph, intelligent information retrieval, and semantic analysis, promotes the construction of ...
Chengyao Lv +4 more
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Entity Relationship Extraction Based on a Multi-Neural Network Cooperation Model
Applied Sciences, 2023 Entity relation extraction mainly extracts relations from text, which is one of the important tasks of natural language processing. At present, some special fields have insufficient data; for example, agriculture, the metallurgical industry, etc.
Yibo Liu +3 more
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Fine-grained Question Answering over Knowledge Graph Based on BiLSTM-CRF [PDF]
Jisuanji gongcheng, 2020 Question answering over knowledge graph is complex in the filtering of candidate master entities of questions,and most existing models ignore the fine-grained correlation between questions and relationships.To address the problem,this paper proposes a ...
ZHANG Chuting, CHANG Liang, WANG Wenkai, CHEN Hongliang, BIN Chenzhong
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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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Joint Extraction of Entities and Relations Based on Enhanced Span and Gate Mechanism
Applied Sciences, 2023 Although entity and relation joint extraction can obtain relational triples efficiently and accurately, there are a number of problems; for instance, the information between entity relations could be transferred better, entity extraction based on span is
Nan Zhang +3 more
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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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