AIMC Topic: Knowledge Bases

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Introducing high correlation and high quality instances for few-shot entity linking.

Neural networks : the official journal of the International Neural Network Society Oct 9, 2024
Entity linking, the process of connecting textual mentions in documents to canonical entities within a knowledge base, plays an integral role in a myriad of natural language processing tasks. A significant challenge prevalent within the field is the ...
Natural Language Processing Knowledge Bases Semantics Humans Neural Networks, Computer
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PotatoG-DKB: a potato gene-disease knowledge base mined from biological literature.

PeerJ Oct 3, 2024
BACKGROUND: Potato is the fourth largest food crop in the world, but potato cultivation faces serious threats from various diseases and pests. Despite significant advancements in research on potato disease resistance, these findings are scattered acr...
Data Mining Natural Language Processing Genes, Plant Solanum tuberosum Plant Diseases Knowledge Bases Disease Resistance
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Community knowledge graph abstraction for enhanced link prediction: A study on PubMed knowledge graph.

Journal of biomedical informatics Sep 10, 2024
OBJECTIVE: As new knowledge is produced at a rapid pace in the biomedical field, existing biomedical Knowledge Graphs (KGs) cannot be manually updated in a timely manner. Previous work in Natural Language Processing (NLP) has leveraged link predictio...
Humans Algorithms Natural Language Processing Data Mining PubMed Knowledge Bases
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EnzChemRED, a rich enzyme chemistry relation extraction dataset.

Scientific data Sep 9, 2024
Expert curation is essential to capture knowledge of enzyme functions from the scientific literature in FAIR open knowledgebases but cannot keep pace with the rate of new discoveries and new publications. In this work we present EnzChemRED, for Enzym...
Natural Language Processing PubMed Enzymes Databases, Protein Knowledge Bases
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Biomedical event causal relation extraction with deep knowledge fusion and Roberta-based data augmentation.

Methods (San Diego, Calif.) Sep 4, 2024
Biomedical event causal relation extraction (BECRE), as a subtask of biomedical information extraction, aims to extract event causal relation facts from unstructured biomedical texts and plays an essential role in many downstream tasks. The existing ...
Knowledge Bases Data Mining Semantics Neural Networks, Computer Deep Learning Humans
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Generative commonsense knowledge subgraph retrieval for open-domain dialogue response generation.

Neural networks : the official journal of the International Neural Network Society Aug 24, 2024
Grounding on a commonsense knowledge subgraph can help the model generate more informative and diverse dialogue responses. Prior Traverse-based works explicitly retrieve a subgraph from the external knowledge base (eKB). Notably, the available knowle...
Natural Language Processing Knowledge Bases Algorithms Language Information Storage and Retrieval Knowledge Humans Neural Networks, Computer
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The development of an EU-wide nutrition and physical activity expert knowledge base to support a personalised mobile application across various EU population groups.

Nutrition bulletin May 21, 2024
A healthy lifestyle comprising regular physical activity and an adequate diet is imperative for the prevention of non-communicable diseases such as hypertension and some cancers. Advances in information computer technology offer the opportunity to pr...
Nutritional Status European Union Nutritional Requirements Knowledge Bases Telemedicine Smartphone Mobile Applications Adult Male Diet Exercise Middle Aged Precision Medicine Female Humans
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An Expert-Knowledge-Based Graph Convolutional Network for Skeleton- Based Physical Rehabilitation Exercises Assessment.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 17, 2024
Physical therapists play a crucial role in guiding patients through effective and safe rehabilitation processes according to medical guidelines. However, due to the therapist-patient imbalance, it is neither economical nor feasible for therapists to ...
Adult Humans Male Neural Networks, Computer Algorithms Movement Expert Systems Knowledge Bases Female Exercise Therapy Rehabilitation
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Span-based few-shot event detection via aligning external knowledge.

Neural networks : the official journal of the International Neural Network Society Apr 18, 2024
Few-shot Event Detection (FSED) aims to identify novel event types in new domains with very limited annotated data. Previous PN-based (Prototypical Network) joint methods suffer from insufficient learning of token-wise label dependency and inaccurate...
Knowledge Bases Machine Learning Algorithms Humans Neural Networks, Computer
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An open source knowledge graph ecosystem for the life sciences.

Scientific data Apr 11, 2024
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowle...
Algorithms Biological Science Disciplines Knowledge Bases Translational Research, Biomedical Pattern Recognition, Automated
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