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pro vyhledávání: '"Fox Edward A"'
Traditional archival practices for describing electronic theses and dissertations (ETDs) rely on broad, high-level metadata schemes that fail to capture the depth, complexity, and interdisciplinary nature of these long scholarly works. The lack of de
Externí odkaz:
http://arxiv.org/abs/2411.17614
As research institutions increasingly commit to supporting the United Nations' Sustainable Development Goals (SDGs), there is a pressing need to accurately assess their research output against these goals. Current approaches, primarily reliant on key
Externí odkaz:
http://arxiv.org/abs/2411.17598
Existing text simplification or paraphrase datasets mainly focus on sentence-level text generation in a general domain. These datasets are typically developed without using domain knowledge. In this paper, we release a novel dataset, VTechAGP, which
Externí odkaz:
http://arxiv.org/abs/2411.04825
Advances in generative models have led to significant interest in image synthesis, demonstrating the ability to generate high-quality images for a diverse range of text prompts. Despite this progress, most studies ignore the presence of bias. In this
Externí odkaz:
http://arxiv.org/abs/2407.00138
Electronic theses and dissertations (ETDs) have been proposed, advocated, and generated for more than 25 years. Although ETDs are hosted by commercial or institutional digital library repositories, they are still an understudied type of scholarly big
Externí odkaz:
http://arxiv.org/abs/2311.04262
Autor:
Ahmadi, Sareh, Fox, Edward A.
We describe an AI-powered chatbot to aid with health improvement by generating Episodic Future Thinking (EFT) cue texts that should reduce delay discounting. In prior studies, EFT has been shown to address maladaptive health behaviors. Those studies
Externí odkaz:
http://arxiv.org/abs/2311.06300
Publikováno v:
2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), Santa Fe, NM, USA, 2023, pp. 256-257
This poster addresses accessibility issues of electronic theses and dissertations (ETDs) in digital libraries (DLs). ETDs are available primarily as PDF files, which present barriers to equitable access, especially for users with visual impairments,
Externí odkaz:
http://arxiv.org/abs/2310.18427
This paper addresses the problem of selecting of a set of texts for annotation in text classification using retrieval methods when there are limits on the number of annotations due to constraints on human resources. An additional challenge addressed
Externí odkaz:
http://arxiv.org/abs/2307.14899