Results 31 to 40 of about 1,836,012 (321)

Survey of Entity Relationship Extraction Methods in Knowledge Graphs [PDF]

Jisuanji kexue yu tansuo
Entity-relationship extraction has gained more and more attention from researchers as a basis for knowledge graph construction. Entity-relationship extraction can automatically and accurately obtain knowledge from a large amount of data, and represent ...
ZHANG Xishuo, LIU Lin, WANG Hailong, SU Guibin, LIU Jing
doaj   +1 more source

Extracting clinical relationships from patient narratives [PDF]

Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing - BioNLP '08, 2008
The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records, for clinical research, evidence-based healthcare and genotype-meets-phenotype informatics. One part of this system is the identification of relationships between clinically important entities in
Angus Roberts, Robert Gaizauskas, Mark Hepple   +2 more
openaire   +1 more source

Development of STEP-NC based machining system for machining process information flow [PDF]

, 2013
To realize the STEP-NC based machining system, it is necessary to perform machining feature extraction, generating machine-specific information, and creating a relationship between STEP-NC entities. A process planning system of a STEP-NC information flow
Janon, Mohd Najib, Kassim, Noordiana, Mohamad, Mahmod Abd Hakim, Mohd Hanifa, Rafizah, Yusof, Yusri   +4 more
core   +1 more source

Rethinking Item Importance in Session-based Recommendation [PDF]

, 2020
Session-based recommendation aims to predict users' based on anonymous sessions. Previous work mainly focuses on the transition relationship between items during an ongoing session.
Cai, Fei, de Rijke, Maarten, Ling, Yanxiang, Pan, Zhiqiang   +3 more
core   +2 more sources

Research on Joint Extraction Method of Entity and Relation Triples Based on Hierarchical Cascade Labeling

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
doaj   +1 more source

Optimising biomedical relationship extraction with BioBERT [PDF]

, 2020
AbstractText mining is widely used within the life sciences as an evidence stream for inferring relationships between biological entities. In most cases, conventional string matching is used to identify cooccurrences of given entities within sentences. This limits the utility of text mining results, as they tend to contain significant noise due to weak
Oliver Giles, Anneli Karlsson, Spyroula Masiala, Simon White, Gianni Cesareni, Livia Perfetto, Joe Mullen, Michael Hughes, Lee Harland, James Malone   +9 more
openaire   +1 more source

Using transfer learning-based causality extraction to mine latent factors for Sjögren's syndrome from biomedical literature

Heliyon, 2023
Understanding causality is a longstanding goal across many different domains. Different articles, such as those published in medical journals, disseminate newly discovered knowledge that is often causal.
Jack T. VanSchaik, Palak Jain, Anushri Rajapuri, Biju Cheriyan, Thankam P. Thyvalikakath, Sunandan Chakraborty   +5 more
doaj   +1 more source

Assessment of mortar evolution in pig slurry by mechanical and ultrasonic measurements [PDF]

, 2010
This work presents the results obtained in a long-term experiment focused on the study of the evolution of cementitious materials immersed in pig slurry at real conditions.
González Hernández, Margarita, Moragues Terrades, Amparo, Sanchez Espinosa, Elvira, Segura Pérez, Ignacio   +3 more
core   +2 more sources

A Novel Dual-Strategy Approach for Constructing Knowledge Graphs in the Home Appliance Fault Domain

Algorithms
Knowledge graph technology holds significant importance for efficient fault diagnosis in household appliances. However, the scarcity of public fault diagnosis data and the lack of automated knowledge extraction pose major challenges to knowledge graph ...
Daokun Zhang, Jian Zhang, Yanhe Jia, Mengjie Liao   +3 more
doaj   +1 more source

Contestable AI for criminal intelligence analysis: improving decision-making through semantic modeling and human oversight

Frontiers in Artificial Intelligence
Criminal investigation analysis involves processing large amounts of data, making manual analysis impractical. Artificial intelligence (AI)-driven information extraction systems can assist investigators in handling this data, leading to significant ...
Falk Maoro, Michaela Geierhos
doaj   +1 more source