PubMed
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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.
3 days ago · The development of nanomaterials has been speedily established in recent years, yet nanoparticles synthesized by traditional methods suffer unacceptable toxicity and the sustainability of the procedure for synthesizing such nanoparticles is inadequate. Consequently, green biosynthesis, which employs biopolymers, is gaining attraction as an environmentally sound alternative to less sustainable ...
4 days ago · Semantic Scholar helps researchers find better academic publications faster. Our engine analyzes publications and extracts important features using machine learning techniques.
3 days ago · Automating the annotation of scanned documents is challenging, requiring a balance between computational efficiency and accuracy. DocParseNet addresses this by combining deep learning and multi-modal learning to process both text and visual data. This model goes beyond traditional OCR and semantic segmentation, capturing the interplay between text and images to preserve contextual nuances in ...
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 ...
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.
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 ...
