A Functional Contextual Account of Background Knowledge in Categorization: Implications for Artificial General Intelligence and Cognitive Accounts of General Knowledge [PDF]
Frontiers in Psychology, 2022 Psychology has benefited from an enormous wealth of knowledge about processes of cognition in relation to how the brain organizes information. Within the categorization literature, this behavior is often explained through theories of memory construction ...
Darren J. Edwards +2 more
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Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection [PDF]
Computer Vision and Pattern RecognitionOpen vocabulary object detection (OVD) aims at seeking an optimal object detector capable of recognizing objects from both base and novel categories. Recent advances leverage knowledge distillation to transfer insightful knowledge from pre-trained large ...
Jiaming Li +6 more
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A bibliometric analysis of research on tourism content marketing: Background knowledge and thematic evolution. [PDF]
Heliyon, 2023 Binh Nguyen PM, Pham XL, To Truong GN.
europepmc +3 more sources
Explaining Arguments with Background Knowledge [PDF]
Datenbank-Spektrum, 2020 AbstractMost information we consume as a society is obtained over the Web. News – often from questionable sources – are spread online, as are election campaigns; calls for (collective) action spread with unforeseen speed and intensity. All such actions have argumentation at their core, and the conveyed content is often strategically selected or ...
Becker, Maria +6 more
openaire +2 more sources
Acquiring Background Knowledge to Improve Moral Value Prediction [PDF]
International Conference on Advances in Social Networks Analysis and Mining, 2017 We address the problem of detecting expressions of moral values in tweets using content analysis. This is a particularly challenging problem because moral values are often only implicitly signaled in language, and tweets contain little contextual ...
Ying Lin +4 more
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Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 We propose new BERT-based methods for recognizing event causality such as “smoke cigarettes” –> “die of lung cancer” written in web texts. In our methods, we grasp each annotator’s policy by training multiple classifiers, each of which predicts the ...
Kazuma Kadowaki +4 more
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A Critical Analysis of Dreyfus’s Background Knowledge [PDF]
PhilosophiesThe role of background knowledge in human intelligence, knowledge, and consciousness has been a topic of discussion among several philosophers, including Ludwig Wittgenstein, John Searle, Martin Heidegger, and Hubert Dreyfus.
Aydan Turanli
doaj +2 more sources
Using Background Knowledge from Preceding Studies for Building a Random Forest Prediction Model: A Plasmode Simulation Study. [PDF]
Entropy (Basel), 2022 Hafermann L +4 more
europepmc +3 more sources
Trajectory Compression Algorithm via Geospatial Background Knowledge [PDF]
Journal of Marine Science and EngineeringThe maritime traffic status is monitored through the Automatic Identification System (AIS) installed on vessels. AIS data record the trajectory of each ship.
Yanqi Fang +4 more
doaj +2 more sources