Articles with "semantic interaction" as a keyword



Medical Vision-Language Modeling With Semantic Interaction and Adaptive Refinement Prompting for Bias Mitigation.

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Published in 2025 at "IEEE journal of biomedical and health informatics"

DOI: 10.1109/jbhi.2025.3631270

Abstract: Vision-Language Models (VLMs) have demonstrated impressive capabilities across various medical tasks, including report generation and visual question answering (VQA). However, pixel-level tasks such as image segmentation remain relatively underexplored, despite their critical importance for clinical… read more here.

Keywords: medical vision; semantic interaction; language; vision language ... See more keywords

A Sentence-Matching Model Based on Multi-Granularity Contextual Key Semantic Interaction

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Published in 2024 at "Applied Sciences"

DOI: 10.3390/app14125197

Abstract: In the task of matching Chinese sentences, the key semantics within sentences and the deep interaction between them significantly affect the matching performance. However, previous studies mainly relied on shallow interactions based on a single… read more here.

Keywords: semantic interaction; granularity; sentence matching; model ... See more keywords
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Test Bed of Semantic Interaction of Smart Objects in the Web of Things

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Published in 2018 at "Future Internet"

DOI: 10.3390/fi10050042

Abstract: Semantic interaction in the Internet of Things (IoT) is an important concept within current IoT development, given that smart things require further autonomy with greater processing, storage, and communication capacities. The problem is now becoming… read more here.

Keywords: bed semantic; semantic interaction; test bed; smart things ... See more keywords

Leveraging deep contrastive learning for semantic interaction

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Published in 2022 at "PeerJ Computer Science"

DOI: 10.7717/peerj-cs.925

Abstract: The semantic interaction process seeks to elicit a user’s mental model as they interact with and query visualizations during a sense-making activity. Semantic interaction enables the development of computational models that capture user intent and… read more here.

Keywords: interaction; model; contrastive learning; deep contrastive ... See more keywords