Results 31 to 40 of about 71,458 (159)
مجلة العلوم البحتة والتطبيقية, 2021 Transforming natural language requirements into entities involves a thorough study of natural language text. Sometimes mistakes are made by designers when manually performing this transformation. Often, the process is time-consuming and inaccurate. Hence,
Mussa A. Omar
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Graph neural networks embedded with domain knowledge for cyber threat intelligence entity and relationship mining [PDF]
PeerJ Computer ScienceThe escalating frequency and severity of cyber-attacks have presented formidable challenges to the safeguarding of cyberspace. Named Entity Recognition (NER) technology is utilized for the rapid identification of threat entities and their relationships ...
Gan Liu, Kai Lu, Saiqi Pi
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Mining heuristic evidence sentences for more interpretable document-level relation extraction
Journal of King Saud University: Computer and Information Sciences, 2023 Current research on evidence sentences is aimed at developing document-level relational extraction models with improved interpretability. Evidence sentences extracted using existing methods are often incomplete, leading to poor relationship prediction ...
Taojie Zhu +5 more
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Knowledge reasoning with multiple relational paths
Connection Science, 2023 Knowledge reasoning technology can infer new knowledge based on the existing entity relationship information in the knowledge graph to complement the knowledge graph. In the existing knowledge reasoning methods based on multi-step relationship paths, the
Hang Su, Huangcan Li, Dun Li
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Entity-Relationship modeling revisited [PDF]
ACM SIGMOD Record, 2004 In this position paper, we argue the modern applications require databases to capture and enforce more domain semantics than traditional applications. We also argue that the best way to incorporate additional semantics into database systems is by capturing the added information in conceptual models and then using it for database design.
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Joint extraction model of entity relations based on decomposition strategy
Scientific ReportsNamed entity recognition and relation extraction are two important fundamental tasks in natural language processing. The joint entity-relationship extraction model based on parameter sharing can effectively reduce the impact of cascading errors on model ...
Ran Li +6 more
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Big Data and Cognitive ComputingAutomated assessment in education has seen rapid growth with the integration of AI, particularly for objective and structured tasks. However, evaluating open-ended design problems such as Entity Relationship (ER) diagrams and relational schemas remains a
Raji Ramachandran +3 more
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A context-based ABC model for literature-based discovery.
PLoS ONE, 2019 BackgroundIn the literature-based discovery, considerable research has been done based on the ABC model developed by Swanson. ABC model hypothesizes that there is a meaningful relation between entity A extracted from document set 1 and entity C extracted
Yong Hwan Kim, Min Song
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Entity and relation extraction in the legal domain
Shenzhen Daxue xuebao. Ligong banEntity and relation extraction technology in the Chinese judicial field plays an important role in improving case-handling efficiency. However, existing models lack domain knowledge and encounter challenges in handling overlapping entities, leading to ...
LIU Meiling, LIANG Longchang
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Joint Extraction of Hazard Source Knowledge in Integrated Utility Corridor Based on Knowledge Graph
IEEE AccessThe current knowledge graph-based joint extraction method for hazard source identification in integrated utility tunnels has been applied to emergency response management, assisting personnel in making rapid and accurate decisions.
Shanshan Wan +3 more
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