Results 41 to 50 of about 6,753,811 (352)
Text-Graph Enhanced Knowledge Graph Representation Learning
Frontiers in Artificial Intelligence, 2021 Knowledge Graphs (KGs) such as Freebase and YAGO have been widely adopted in a variety of NLP tasks. Representation learning of Knowledge Graphs (KGs) aims to map entities and relationships into a continuous low-dimensional vector space.
Linmei Hu +6 more
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Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles [PDF]
, 2021 Increasing amounts of freely available data both in textual and relational form offers exploration of richer document representations, potentially improving the model performance and robustness. An emerging problem in the modern era is fake news detection -- many easily available pieces of information are not necessarily factually correct, and can lead
arxiv +1 more source
Knowledge Representation in Multilingual Education Resources
Развитие образования, 2022 Introduction. Ontologies are now recognised as the advanced standard of knowledge representation for e-learning and some industries. In particular, the development of multilingual ontological education resources is characterised as a promising area of ...
Eugeniya M. Volegzhanina +1 more
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An Intelligent Monitoring System for the Safety of Building Structure under the W2T Framework
International Journal of Distributed Sensor Networks, 2015 Monitoring systems for the safety of building structure (SBS) can provide people with important data related to main supporting points in a building and then help people to make a reasonable maintenance schedule.
Haiyuan Wang +5 more
doaj +1 more source
LEGAL KNOWLEDGE REPRESENTATION MODEL
Известия высших учебных заведений. Поволжский регион:Технические науки, 2020 Background. The need to automate the decision-making process on legal issues in various fields of human activity determines the importance of this work.
P. A. Gudkov, E. M. Podmar'kova
doaj +1 more source
Knowledge representation and pottery classification.
IpoTESI di Preistoria, 2009 This paper shows a methodology for the pottery classification by the testing of knowledge representation techniques coming from the field of artificial intelligence. The application context is the research project on the Bronze Age in Romagna, which this
Vittorio Cavani +2 more
doaj +1 more source
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning [PDF]
arXiv, 2021 Generalized Zero-Shot Learning (GZSL) targets recognizing new categories by learning transferable image representations. Existing methods find that, by aligning image representations with corresponding semantic labels, the semantic-aligned representations can be transferred to unseen categories.
arxiv
Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing [PDF]
, 2023 Recent work has utilised knowledge-aware approaches to natural language understanding, question answering, recommendation systems, and other tasks. These approaches rely on well-constructed and large-scale knowledge graphs that can be useful for many downstream applications and empower knowledge-aware models with commonsense reasoning.
arxiv +1 more source
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
The Web Conference, 2020 Human-curated knowledge graphs provide critical supportive information to various natural language processing tasks, but these graphs are usually incomplete, urging auto-completion of them (a.k.a. knowledge graph completion).
Bo Wang +4 more
semanticscholar +1 more source
Remote Sensing, 2014 Estimating forest area at a national scale within the United Nations program of Reducing Emissions from Deforestation and Forest Degradation (REDD) is primarily based on land cover information using remote sensing technologies.
Steffen Gebhardt +11 more
doaj +1 more source