Results 1 to 10 of about 6,753,712 (253)
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation [PDF]
arXiv, 2021 Knowledge-grounded dialogue systems are challenging to build due to the lack of training data and heterogeneous knowledge sources. Existing systems perform poorly on unseen topics due to limited topics covered in the training data. In addition, heterogeneous knowledge sources make it challenging for systems to generalize to other tasks because ...
Yu Li +6 more
arxiv +3 more sources
Image-embodied Knowledge Representation Learning [PDF]
IJCAI-2017, 2016 Entity images could provide significant visual information for knowledge representation learning. Most conventional methods learn knowledge representations merely from structured triples, ignoring rich visual information extracted from entity images. In this paper, we propose a novel Image-embodied Knowledge Representation Learning model (IKRL), where ...
Ruobing Xie +3 more
arxiv +3 more sources
Knowledge Representation [PDF]
arXiv, 2002 This work analyses main features that should be present in knowledge representation. It suggests a model for representation and a way to implement this model in software. Representation takes care of both low-level sensor information and high-level concepts.
arxiv +3 more sources
K-BERT: Enabling Language Representation with Knowledge Graph [PDF]
arXiv, 2019 Pre-trained language representation models, such as BERT, capture a general language representation from large-scale corpora, but lack domain-specific knowledge. When reading a domain text, experts make inferences with relevant knowledge. For machines to achieve this capability, we propose a knowledge-enabled language representation model (K-BERT) with
Weijie Liu +6 more
arxiv +3 more sources
Knowledge Representation and Ontologies [PDF]
Health Informatics, 2012 Ontologies have become important tools in biomedicine, supporting critical aspects of both health care and biomedical research, including clinical research. Some even see ontologies as integral to science. Unlike terminologies (focusing on naming) and classification systems (developed for partitioning a domain), ontologies define the types of entities
Kin Wah Fung, Olivier Bodenreider
openaire +2 more sources
Geographic Knowledge Graph (GeoKG): A Formalized Geographic Knowledge Representation
ISPRS International Journal of Geo-Information, 2019 Formalized knowledge representation is the foundation of Big Data computing, mining and visualization. Current knowledge representations regard information as items linked to relevant objects or concepts by tree or graph structures.
Shu Wang +5 more
doaj +2 more sources
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence [PDF]
AAAI-2018, 2017 Knowledge graphs (KGs), which could provide essential relational information between entities, have been widely utilized in various knowledge-driven applications. Since the overall human knowledge is innumerable that still grows explosively and changes frequently, knowledge construction and update inevitably involve automatic mechanisms with less human
Ruobing Xie, Zhiyuan Liu, Maosong Sun
arxiv +3 more sources
Paired structures in knowledge representation [PDF]
Knowledge-Based Systems, 2016 In this position paper we propose a consistent and unifying view to all those basic knowledge representation models that are based on the existence of two somehow opposite fuzzy concepts. A number of these basic models can be found in fuzzy logic and multi-valued logic literature.
J. Montero +7 more
openaire +7 more sources
The BioRECIPE Knowledge Representation Format. [PDF]
ACS Synth BiolAbstractThe BioRECIPE (Biological system Representation for Evaluation, Curation, Interoperability, Preserving, and Execution) knowledge representation format was introduced to facilitate seamless human-machine interaction while creating, verifying, evaluating, curating, and expanding executable models of intra- and intercellular signaling. This format
Holtzapple E +7 more
europepmc +3 more sources
Human white matter and knowledge representation. [PDF]
PLoS Biology, 2018 Understanding how knowledge is represented in the human brain is a fundamental challenge in neuroscience. To date, most of the work on this topic has focused on knowledge representation in cortical areas and debated whether knowledge is represented in a ...
Franco Pestilli
doaj +2 more sources