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5 days ago · What is Semantic Scholar? Semantic Scholar Pulling from publisher partnerships, data providers, and web crawls, this free-to-use AI-driven search and discovery toolset provides a streamlined search platform for over 200 million academic papers.
4 days ago · Semantic Scholar helps researchers find better academic publications faster. Our engine analyzes publications and extracts important features using machine learning techniques.
2 days ago · Albeit extensive studies of translation universals at lexical and grammatical levels, there has been scant research at the syntactic-semantic level. To bridge this gap, this study employs semantic ...
1 day ago · The field of text-to-image (T2I) generation has made significant progress in recent years, largely driven by advancements in diffusion models. Linguistic control enables effective content creation, but struggles with fine-grained control over image generation. This challenge has been explored, to a great extent, by incorporating additional user-supplied spatial conditions, such as depth maps ...
4 days ago · Semantics is the study of linguistic meaning. It examines what meaning is, how words get their meaning, and how the meaning of a complex expression depends on its parts. Part of this process involves the distinction between sense and reference. Sense is given by the ideas and concepts associated with an expression while reference is the object ...
4 days ago · DOI: 10.1093/jamia/ocae142 Corpus ID: 270735697; Using large language model to guide patients to create efficient and comprehensive clinical care message. @article{Liu2024UsingLL, title={Using large language model to guide patients to create efficient and comprehensive clinical care message.}, author={Siru Liu and Aileen P. Wright and Allison B Mccoy and Sean S. Huang and Julian Z. Genkins and ...
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3 days ago · Process mining algorithms essentially reflect the execution behavior of events in an event log for conformance checking, model discovery, or enhancement. Domain experts have developed several process mining algorithms based on theoretical frameworks such as linear integer programming, heuristics, and genetic algorithms, region-based and semantic-based approaches. The idea is to generate ...
