Results 21 to 30 of about 1,471,105 (229)
Trends in intelligent manufacturing research: a keyword co-occurrence network based review
Journal of Intelligent Manufacturing, 2022 In recent years, driven by Industry 4.0 wave, academic research has focused on the science, engineering, and enabling technologies for intelligent and cyber manufacturing.
Chenxi Yuan +4 more
semanticscholar +1 more source
Multi-Authority Attribute-Based Keyword Search over Encrypted Cloud Data
IEEE Transactions on Dependable and Secure Computing, 2021 Searchable Encryption (SE) is an important technique to guarantee data security and usability in the cloud at the same time. Leveraging Ciphertext-Policy Attribute-Based Encryption (CP-ABE), the Ciphertext-Policy Attribute-Based Keyword Search (CP-ABKS ...
Yinbin Miao +5 more
semanticscholar +1 more source
YAKE! Keyword extraction from single documents using multiple local features
Information Sciences, 2020 As the amount of generated information grows, reading and summarizing texts of large collections turns into a challenging task. Many documents do not come with descriptive terms, thus requiring humans to generate keywords on-the-fly. The need to automate
Ricardo Campos +5 more
semanticscholar +1 more source
Streaming keyword spotting on mobile devices [PDF]
Interspeech, 2020 In this work we explore the latency and accuracy of keyword spotting (KWS) models in streaming and non-streaming modes on mobile phones. NN model conversion from non-streaming mode (model receives the whole input sequence and then returns the ...
Oleg Rybakov +4 more
semanticscholar +1 more source
Keyword Assisted Topic Models [PDF]
American Journal of Political Science, 2020 For a long time, many social scientists have conducted content analysis by using their substantive knowledge and manually coding documents. In recent years, however, fully automated content analysis based on probabilistic topic models has become ...
Shusei Eshima +2 more
semanticscholar +1 more source
Cultural Studies, 2021 This article pursues two tasks. The first is to clarify the value and productivity of Williams’s Keywords: a vocabulary of culture and society (first edition 1976, second expanded edition 1983a) for the project of Cultural Studies. This clarification is helped, I argue, by reading it alongside Vološinov’s Marxism and the philosophy of language ...
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Impact analysis of keyword extraction using contextual word embedding
PeerJ Computer Science, 2022 A document’s keywords provide high-level descriptions of the content that summarize the document’s central themes, concepts, ideas, or arguments. These descriptive phrases make it easier for algorithms to find relevant information quickly and efficiently.
Muhammad Qasim Khan +7 more
semanticscholar +1 more source
Keyword programming in Java [PDF]
Automated Software Engineering, 2007 Keyword programming is a novel technique for reducing the need to remember details of programming language syntax and APIs, by translating a small number of keywords provided by the user into a valid expression. Prior work has demonstrated the feasibility and merit of this approach in limited domains.
Little, Danny Greg, Miller, Robert C.
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Weakly-supervised Text Classification Based on Keyword Graph [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 Weakly-supervised text classification has received much attention in recent years for it can alleviate the heavy burden of annotating massive data.
Lu Zhang +4 more
semanticscholar +1 more source
Attribute-Based Keyword Search over Hierarchical Data in Cloud Computing
IEEE Transactions on Services Computing, 2020 Searchable encryption (SE) has been a promising technology which allows users to perform search queries over encrypted data. However, the most of existing SE schemes cannot deal with the shared records that have hierarchical structures. In this paper, we
Yinbin Miao +5 more
semanticscholar +1 more source