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Filling Gaps in Industrial Knowledge Graphs via Event-Enhanced Embedding
2018
International Semantic Web Conference
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We address this problem by proposing an Event-enhanced Knowledge Learning (EKL) approach for KG completion that intuitively has two sub-steps: 1. ...
The goal of this work is to understand how event logs can enhance relational learning for KGs. ...
dblp:conf/semweb/RingsquandlK0HL18
fatcat:twqzku4xrfa3vjo5ooc4rzyf4m
On event-driven knowledge graph completion in digital factories
2017
2017 IEEE International Conference on Big Data (Big Data)
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2021 pre-print arXiv:2109.03655v1 fatcat:cpnabuppi5h4hlhob4hzmeanim
In particular, we show how knowledge completion can benefit from event logs that are common in smart factories. ...
In this work we show how machine learning that is specifically tailored towards industrial applications can help in knowledge graph completion. ...
We evaluated our machine learning method in these scenarios and showed that with the help of our event-enhanced learning model it can do a good quality KG completion and therefore synchronise the digital ...
doi:10.1109/bigdata.2017.8258105
dblp:conf/bigdataconf/RingsquandlKSLL17
fatcat:zsujquk2gve7fc4ut3463kqdbu
Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations
[article]
2022
arXiv
pre-print
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as temporal KG completion. ...
., knowledge graphs (KGs) also contain temporal facts or events indicating evolutionary relationships among entities at different timestamps. (2) PLMs cannot be directly applied to many KG tasks, such ...
Besides, the models mentioned above enhance language of PLMs by injecting external knowledge from KGs. But for many knowledge graph tasks, e.g., tKG completion, it is not appropriate to apply PLMs. ...
arXiv:2203.09590v3
fatcat:vovdzstpzrcmlnray7ojmplhtq
RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion
[article]
2021
arXiv
pre-print
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In this paper, we propose a Recursive Temporal Fact Embedding (RTFE) framework to transplant SKGE models to TKGs and to enhance the performance of existing TKGE models for TKG completion. ...
Since RTFE learns each timestamp recursively, it can naturally transit to future timestamps. Experiments on five TKG datasets show the effectiveness of RTFE. ...
prediction model by using background information provided by KG and recent events. ...
arXiv:2009.14653v4
fatcat:63torcfukrhibif2w3fvbftece
c-Jun-N-terminal kinase 1 is necessary for nicotine-induced enhancement of contextual fear conditioning
2016
Neuroscience Letters
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Acute nicotine enhances hippocampus-dependent learning. ...
These data suggest that JNK1 may be recruited by nicotine and is functionally necessary for the acute effects of nicotine on learning and memory. ...
All breeding for behavioral analysis was carried out using heterozygous by heterozygous matings, which were conducted after the completion of backcrossing. ...
doi:10.1016/j.neulet.2016.05.048
pmid:27235579
pmcid:PMC4939116
fatcat:uicyvbxusveqtadu2htgrhvhku
What is Event Knowledge Graph: A Survey
[article]
2022
arXiv
pre-print
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form like Event KG (EKG). ...
Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are also an essential kind of knowledge in the world, which trigger the spring up of event-centric knowledge representation ...
TABLE 6 6 Comparison of methods for event argument completion. ...
arXiv:2112.15280v2
fatcat:szx75hnmbjem3cyltefxybanai
EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
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Generating emotional responses is crucial for building human-like dialogue systems. ...
To learn such context-specific patterns, we propose a learning mechanism called event mention masking generalization, which explicitly excludes event information for learning. ...
While M MMR is completely opposite. The full model can take advantage of M KG and M MMR to make a more accurate prediction. ...
doi:10.24963/ijcai.2020/499
dblp:conf/ijcai/Liu0020
fatcat:xqovzg7odjglhbxl267pnit2da
Double Dissociation of Nicotinic alpha-7 and alpha-4/beta-2 Sub-receptor Agonists for Enhancing Learning and Attentional Filtering of Distraction
[article]
2018
bioRxiv
pre-print
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These insights will be critical for developing function-specific drugs alleviating attention and learning deficits in neuro-psychiatric diseases. ...
We found that the alpha-7 nAChR agonist PHA- 543613 selectively enhanced the learning speed of feature values but did not modulate how salient distracting information was filtered from ongoing choice processes ...
We did find, however, that good dosing of α4β2 agonists enhanced filtering distracting events when they co-occurred with the target event. ...
doi:10.1101/369496
fatcat:5z76pzhm65eszdojvleakgfxlq
Epinephrine enhancement of human memory consolidation: Interaction with arousal at encoding
2003
Neurobiology of Learning and Memory
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In the present study, healthy subjects viewed a series of 21 slides, and immediately after received an intravenous infusion of either saline or epinephrine (40 or 80 ng/kg/min). ...
Epinephrine dose-dependently increased memory for the primacy slides, but did not affect memory of the recency slides. ...
Post-learning epinephrine administration (80 ng/kg/min) significantly enhanced recall of the primacy slides, but did not affect recall of the recency slides. ...
doi:10.1016/s1074-7427(02)00036-9
pmid:12591227
fatcat:xtm7pebjevcgbhxc6pp2tubcka
Behavioral Stress May Increase the Rewarding Valence of Cocaine-Associated Cues Through a Dynorphin/κ-Opioid Receptor-Mediated Mechanism without Affecting Associative Learning or Memory Retrieval Mechanisms
2010
Neuropsychopharmacology
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To determine whether FSS potentiated CPP by enhancing associative learning mechanisms, mice were conditioned with cocaine in the absence of stress, then challenged after association was complete with the ...
The results from this study show that the potentiation of cocaine-CPP by KOR activation does not result from an enhancement of associative learning mechanisms and that stress may instead enhance the rewarding ...
We thank Dan Messinger for genotyping the mice and maintaining the breeding colony. ...
doi:10.1038/npp.2010.67
pmid:20445500
pmcid:PMC2904851
fatcat:jldhksksxvec5mvtmgrcwiv35q
Isoproterenol Increases CREB Phosphorylation and Olfactory Nerve-Evoked Potentials in Normal and 5-HT-Depleted Olfactory Bulbs in Rat Pups Only at Doses That Produce Odor Preference Learning
2000
Learning & memory (Cold Spring Harbor, N.Y.)
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A dose of 6 mg/kg isoproterenol, which was ineffective in modulating these measures in normal rat pups, induced odor preference learning, enhanced phosphorylated CREB (pCREB) expression, and increased ...
Systemic injection of 2 mg/kg isoproterenol (-adrenoceptor agonist) induced odor preference learning, enhanced pCREB expression in the olfactory bulbs at 10 min after odor pairing, and increased ON-EFPs ...
ACKNOWLEDGMENTS We thank Mark Power and Steve Milway for technical assistance in parts of these experiments. This work was supported by the MRC of Canada (grant 14148). ...
doi:10.1101/lm.35900
pmid:11112800
pmcid:PMC311343
fatcat:l225ydfk6zhpzlenejs7wc76ya
Problem- Based Cybersecurity Lab with Knowledge Graph as Guidance
2022
Journal of Artificial Intelligence and Technology
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Problem-based Learning (PBL) has been identified as an efficient pedagogy for many disciplines, especially engineering education. ...
The authors developed an online laboratory environment to apply PBL with Knowledge-Graph (KG) based guidance for hands-on labs in cybersecurity training.Learners are provided access to a virtual lab environment ...
with KG guidance that mainly focuses on creating a cybersecurity simulation environment, completing the group project practice, and supporting the learning experience. ...
doi:10.37965/jait.2022.0066
fatcat:srvz7dykfnayfomhxnpjg6e4qi
KG-BERT: BERT for Knowledge Graph Completion
[article]
2019
arXiv
pre-print
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In this work, we propose to use pre-trained language models for knowledge graph completion. ...
Knowledge graphs are important resources for many artificial intelligence tasks but often suffer from incompleteness. ...
Figure 5 illustrates attention patterns of KG-BERT(b). The triple (20th century, /time/event/includes event, World War II) from FB15K is taken as input. ...
arXiv:1909.03193v2
fatcat:paxbpkgmkva6rfd7fzesxj4dxy
Hyperplane-based time-aware knowledge graph embedding for temporal knowledge graph completion
2022
Journal of Intelligent & Fuzzy Systems
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In this paper, we propose a new hyperplane-based time-aware KG embedding model for temporal KG completion. ...
Knowledge Graph (KG) embedding approaches have been proved effective to infer new facts for a KG based on the existing ones–a problem known as KG completion. ...
standard benchmarks for temporal KG completion. ...
doi:10.3233/jifs-211950
fatcat:bxe4yz2mnfaohbk56g4rpbxhki
A new approach to understanding the molecular mechanisms through which estrogens affect cognition
2010
Biochimica et Biophysica Acta - General Subjects
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In this review, we propose a new approach to study hormones and memory, where the systematic blocking of cellular events can reveal which such events are necessary for hormones to influence memory consolidation ...
Because this work does not permit causal relationships to be identified, very little is known about the specific molecules and cellular events through which hormones affect cognitive function. ...
Thus far, this approach has provided important insights into the cellular events in the dorsal hippocampus that are critical for acute E 2 treatments to enhance one type of hippocampal memory, object recognition ...
doi:10.1016/j.bbagen.2009.11.004
pmid:19913600
pmcid:PMC2888644
fatcat:qzh7vwmpcjgilpqc73qtgdjgma
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