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Nested named entity recognition (NNER), a subtask of named entity recognition (NER), aims to recognize more types of entities and complex nested relationships, presenting challenges for real-world ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
In the last decade, convolutional neural networks (CNNs) have been the go-to architecture in computer vision, owing to their powerful capability in learning representations from images/videos.
Semantic image segmentation is a computer vision task where machines or algorithms label specific regions of an image automatically according to people’s prior annotation. The aim of semantic ...
Natural language processing (NLP) has been a long-standing dream of computer scientists that dates back to the days of ELIZA and even to the fundamental foundations of computing itself (Turing Test, ...
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