Results 41 to 50 of about 812,194 (338)
Encoding Human Domain Knowledge to Warm Start Reinforcement Learning
AAAI Conference on Artificial Intelligence, 2021 Deep reinforcement learning has been successful in a variety of tasks, such as game playing and robotic manipulation. However, attempting to learn tabula rasa disregards the logical structure of many domains as well as the wealth of readily available ...
Andrew Silva, M. Gombolay
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Adopting AI in the Context of Knowledge Work: Empirical Insights from German Organizations
Information, 2022 Artificial Intelligence (AI) is increasingly adopted by organizations. In general, scholars agree that the adoption of AI will be associated with substantial changes in the workplace. Empirical evidence on the phenomenon remains scarce, however.
Georg von Richthofen +2 more
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Knowledge-Guided Sentiment Analysis Via Learning From Natural Language Explanations
IEEE Access, 2021 Sentiment analysis is crucial for studying public opinion since it can provide us with valuable information. Existing sentiment analysis methods rely on finding the sentiment element from the content of user-generated.
Zunwang Ke +4 more
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Domain knowledge integration into deep learning for typhoon intensity classification
Scientific Reports, 2021 In this report, we propose a deep learning technique for high-accuracy estimation of the intensity class of a typhoon from a single satellite image, by incorporating meteorological domain knowledge.
Maiki Higa +8 more
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Goal-Driven Visual Question Generation from Radiology Images
Information, 2021 Visual Question Generation (VQG) from images is a rising research topic in both fields of natural language processing and computer vision. Although there are some recent efforts towards generating questions from images in the open domain, the VQG task in
Mourad Sarrouti +2 more
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, 2021 The literature and practices of construction safety management have highlighted the importance of domain knowledge.
N. Xu +4 more
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Conference on Empirical Methods in Natural Language Processing, 2021 Domain-specific pre-trained language models (PLMs) have achieved great success over various downstream tasks in different domains. However, existing domain-specific PLMs mostly rely on self-supervised learning over large amounts of domain text, without ...
Qiuhao Lu, D. Dou, Thien Huu Nguyen
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AliMeKG: Domain Knowledge Graph Construction and Application in E-commerce [PDF]
International Conference on Information and Knowledge Management, 2020 Pre-sales customer service is of importance to E-commerce platforms as it contributes to optimizing customers? buying process. To better serve users, we propose AliMe KG, a domain knowledge graph in E-commerce that captures user problems, points of ...
Feng-Lin Li +6 more
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A Survey of Domain Knowledge Elicitation in Applied Machine Learning
Multimodal Technologies and Interaction, 2021 Eliciting knowledge from domain experts can play an important role throughout the machine learning process, from correctly specifying the task to evaluating model results. However, knowledge elicitation is also fraught with challenges.
Daniel Kerrigan +2 more
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SemDaServ: A Systematic Approach for Semantic Data Specification of AI-Based Smart Service Systems
Applied Sciences, 2021 To develop smart services to successfully operate as a component of smart service systems (SSS), they need qualitatively and quantitatively sufficient data. This is especially true when using statistical methods from the field of artificial intelligence (
Maurice Preidel, Rainer Stark
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