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MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System ...
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The tongue features associated with chronic kidney disease
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In: Medicine (Baltimore) (2021)
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Question-Answering with Grammatically-Interpretable Representations ...
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Additional file 1: of A practical community-based response strategy to interrupt Ebola transmission in sierra Leone, 2014â 2015 ...
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Additional file 1: of A practical community-based response strategy to interrupt Ebola transmission in sierra Leone, 2014â 2015 ...
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Additional file 1: of Rapid assessment of knowledge, attitudes, practices, and risk perception related to the prevention and control of Ebola virus disease in three communities of Sierra Leone ...
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Additional file 1: of Rapid assessment of knowledge, attitudes, practices, and risk perception related to the prevention and control of Ebola virus disease in three communities of Sierra Leone ...
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Knowledge as a Teacher: Knowledge-Guided Structural Attention Networks ...
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Language Models for Image Captioning: The Quirks and What Works ...
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Abstract:
Two recent approaches have achieved state-of-the-art results in image captioning. The first uses a pipelined process where a set of candidate words is generated by a convolutional neural network (CNN) trained on images, and then a maximum entropy (ME) language model is used to arrange these words into a coherent sentence. The second uses the penultimate activation layer of the CNN as input to a recurrent neural network (RNN) that then generates the caption sequence. In this paper, we compare the merits of these different language modeling approaches for the first time by using the same state-of-the-art CNN as input. We examine issues in the different approaches, including linguistic irregularities, caption repetition, and data set overlap. By combining key aspects of the ME and RNN methods, we achieve a new record performance over previously published results on the benchmark COCO dataset. However, the gains we see in BLEU do not translate to human judgments. ... : See http://research.microsoft.com/en-us/projects/image_captioning for project information ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://arxiv.org/abs/1505.01809
https://dx.doi.org/10.48550/arxiv.1505.01809
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