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ai-deadlines is a tracker for submission dates across machine learning, computer vision, and natural language processing research conferences. It functions as a specialized calendar and monitor to help researchers track important conference date milestones. The project provides chronological timelines and countdown timers for top-tier artificial intelligence venues. This covers the publication cycle for academic papers in the ML, CV, and NLP domains.
This project is a collection of pre-trained dense and sparse word vectors trained on diverse Chinese corpora. It serves as a library of linguistic representations and an NLP vector dataset designed to improve the accuracy of semantic and morphological analysis in text models. The collection provides corpus-specific representations and utilizes n-gram co-occurrence modeling to capture diverse linguistic patterns. It includes a hybrid of dense-sparse vectors to balance computational efficiency and semantic precision. The project covers semantic vector search and the development of Chinese natu
A list of Medical imaging datasets.
MSParS is a large-scale dataset for the open domain semantic parsing task. The whole dataset consists of 81,826 samples annotated by native English speakers. We randomly shuffle these samples and use 80\% of them (63,826) as training set, 10\% as validation set (9,000), and the remaining 10\% as…
The main features of msra-nlc/mspars are: Research and Datasets.
Projects with overlapping indexed features include: abhshkdz/ai-deadlines — ai-deadlines is a tracker for submission dates across machine learning, computer vision, and natural language… embedding/chinese-word-vectors — This project is a collection of pre-trained dense and sparse word vectors trained on diverse Chinese corpora. It… sfikas/medical-imaging-datasets — A list of Medical imaging datasets.