Results 71 to 80 of about 1,302,763 (303)
Extracting Conceptual Relationships and Inducing Concept Lattices from Unstructured Text
Concept and relationship extraction from unstructured text data plays a key role in meaning aware computing paradigms, which make computers intelligent by helping them learn, interpret, and synthesis information. These concepts and relationships leverage
Anoop V.S., Asharaf S.
doaj +1 more source
ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou +10 more
wiley +1 more source
A study on pharmaceutical text relationship extraction based on heterogeneous graph neural networks
Effective information extraction of pharmaceutical texts is of great significance for clinical research. The ancient Chinese medicine text has streamlined sentences and complex semantic relationships, and the textual relationships may exist between ...
Shuilong Zou +6 more
doaj +1 more source
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild [PDF]
Ting Wu +5 more
openalex +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Exploiting document graphs for inter sentence relation extraction [PDF]
Hoang-Quynh Le +2 more
openalex +1 more source
Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
NAS-CRE: Neural Architecture Search for Context-Based Relation Extraction
Relation extraction, a crucial task in natural language processing (NLP) for constructing knowledge graphs, entails extracting relational semantics between pairs of entities within a sentence.
Rongen Yan +5 more
doaj +1 more source
Distant Supervision for Relation Extraction with Ranking-Based Methods
Relation extraction has benefited from distant supervision in recent years with the development of natural language processing techniques and data explosion.
Yang Xiang +3 more
doaj +1 more source
Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence
Relation extraction is a type of information extraction task that recognizes semantic relationships between entities in a sentence. Many previous studies have focused on extracting only one semantic relation between two entities in a single sentence ...
Seongsik Park, Harksoo Kim
doaj +1 more source

