AIMC Topic: Semantics

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From jeopardy champion to drug discovery; semantic similarity artificial intelligence.

Autophagy May 14, 2023
We have employed artificial intelligence to streamline the small molecule drug screening pipeline and identified the cholesterol-reducing compound probucol in the process. Probucol augmented mitophagy and prevented loss of dopaminergic neurons in fli...
Mitophagy Semantics Artificial Intelligence Humans Drug Discovery Animals
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Block-level dependency syntax based model for end-to-end aspect-based sentiment analysis.

Neural networks : the official journal of the International Neural Network Society May 12, 2023
End-to-End aspect-based sentiment analysis (E2E-ABSA) aims to jointly extract aspect terms and identify their sentiment polarities. Although previous research has demonstrated that syntax knowledge can be beneficial for E2E-ABSA, standard syntax depe...
Humans Semantics Sentiment Analysis Speech
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The text-package: An R-package for analyzing and visualizing human language using natural language processing and transformers.

Psychological methods May 1, 2023
The language that individuals use for expressing themselves contains rich psychological information. Recent significant advances in Natural Language Processing (NLP) and Deep Learning (DL), namely transformers, have resulted in large performance gain...
Humans Semantics Social Sciences Natural Language Processing Language
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Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 29, 2023
Previous work on clinical relation extraction from free-text sentences leveraged information about semantic types from clinical knowledge bases as a part of entity representations. In this paper, we exploit additional evidence by also making use of ....
Unified Medical Language System Semantics Sample Size Reproducibility of Results Natural Language Processing Knowledge Bases Humans Datasets as Topic
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Explainable hybrid word representations for sentiment analysis of financial news.

Neural networks : the official journal of the International Neural Network Society Apr 21, 2023
Due to the increasing interest of people in the stock and financial market, the sentiment analysis of news and texts related to the sector is of utmost importance. This helps the potential investors in deciding what company to invest in and what are ...
Semantics Sentiment Analysis Natural Language Processing Neural Networks, Computer Language Humans
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A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer.

Scientific data Apr 21, 2023
The success of training computer-vision models heavily relies on the support of large-scale, real-world images with annotations. Yet such an annotation-ready dataset is difficult to curate in pathology due to the privacy protection and excessive anno...
Semantics Privacy Deep Learning Humans Breast Neoplasms Workflow Female Image Processing, Computer-Assisted
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BCU-Net: Bridging ConvNeXt and U-Net for medical image segmentation.

Computers in biology and medicine Apr 20, 2023
Medical image segmentation enables doctors to observe lesion regions better and make accurate diagnostic decisions. Single-branch models such as U-Net have achieved great progress in this field. However, the complementary local and global pathologica...
Neural Networks, Computer Semantics Image Processing, Computer-Assisted Retinal Vessels
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Dynamic hierarchical multi-scale fusion network with axial MLP for medical image segmentation.

Scientific reports Apr 18, 2023
Medical image segmentation provides various effective methods for accuracy and robustness of organ segmentation, lesion detection, and classification. Medical images have fixed structures, simple semantics, and diverse details, and thus fusing rich m...
Image Processing, Computer-Assisted Semantics Neural Networks, Computer
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Deep learning-based semantic segmentation of non-melanocytic skin tumors in whole-slide histopathological images.

Experimental dermatology Apr 5, 2023
Basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) are the two most common skin cancer and impose a huge medical burden on society. Histopathological examination based on whole-slide images (WSIs) remains to be the confirmatory diagnostic m...
Carcinoma, Basal Cell Carcinoma, Squamous Cell Skin Neoplasms Semantics Image Processing, Computer-Assisted Deep Learning Humans
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Improving Biomedical Question Answering by Data Augmentation and Model Weighting.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
Biomedical Question Answering aims to extract an answer to the given question from a biomedical context. Due to the strong professionalism of specific domain, it's more difficult to build large-scale datasets for specific domain question answering. E...
Machine Learning Semantics
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