Samuel Ritter

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Complex interactions among the meanings of words are important factors in the function that maps word meanings to phrase meanings. Recently, compositional distributional semantics models (CDSM) have been designed with the goal of emulating these complex interactions; however, experimental results on the effectiveness of CDSM have been difficult to interpret(More)
In this paper we carry out an extensive comparison of many off-the-shelf distributed semantic vectors representations of words, for the purpose of making predictions about behavioural results or human annotations of data. In doing this comparison we also provide a guide for how vector similarity computations can be used to make such predictions, and(More)
We present the case of an asymptomatic 21-year-old woman referred because of an abnormal routine electrocardiogram. Transthoracic and transesophageal echocardiography revealed a complete absence of the atrial septum, a common atrium septated posteriorly from the pulmonary venous chamber, a partial atrioventricular canal, a cleft mitral valve and a(More)
Deep neural networks (DNNs) have achieved unprecedented performance on a wide range of complex tasks, rapidly outpacing our understanding of the nature of their solutions. This has caused a recent surge of interest in methods for rendering modern neural systems more interpretable. In this work, we propose to address the interpretability problem in modern(More)
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