NaturalTurn: a method to segment speech into psychologically meaningful conversational turns. [PDF]
Cooney G, Reece A.
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Improving micromorphological analysis with CNN-based segmentation of flint/obsidian, bone and charcoal. [PDF]
Arnay R +4 more
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The Role of Artificial Intelligence in Theranostics. [PDF]
Currie GM, Rohren E.
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Prompt-Driven Multimodal Segmentation with Dynamic Fusion for Adaptive and Robust Medical Imaging with Applications to Cancer Diagnosis. [PDF]
Alsaedi SA +7 more
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PlaqueCap: lesion-centered captioning of atherosclerotic plaques in intravascular ultrasound using vision-language models and prompt injection. [PDF]
Ren G +9 more
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Segmentation of text/graphic from handwritten mathematical documents using gabor filter.
Yassine Chajri +2 more
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Corrections to "Automatic Labeling of Facial Zones for Digital Clinical Application: An Ensemble of Semantic Segmentation Models". [PDF]
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This paper focuses on a method for the stylistic segmentation of text documents. Our technique involves mapping the change in a feature throughout a text. We use the linguistic features of conjunction and modality, through taxonomies from Systemic Functional Linguistics.
Paul J. Chase, Shlomo Argamon
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Electronic text is essentially just a sequence of characters, but the majority of text processing tools operate in terms of linguistic units such as words and sentences. Tokenization is a process of segmenting text into words, and sentence splitting is the process of determining sentence boundaries in the text.
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Faceted Text Segmentation via Multitask Learning
IEEE Transactions on Neural Networks and Learning Systems, 2021Text segmentation is a fundamental step in natural language processing (NLP) and information retrieval (IR) tasks. Most existing approaches do not explicitly take into account the facet information of documents for segmentation. Text segmentation and facet annotation are often addressed as separate problems, but they operate in a common input space ...
Bei Wu +4 more
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