Elisa Ferracane

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We explore techniques to maximize the effectiveness of discourse information in the task of authorship attribution. We present a novel method to embed discourse features in a Convolutional Neural Network text classifier, which achieves a state-ofthe-art result by a significant margin. We empirically investigate several featurization methods to understand(More)
Performing systematic reviews is a critical yet manual, labor-intensive step in evidencebased medicine. Automating systematic reviews is an active area of research, requiring innovations in machine learning and computational linguistics. We examine how coreference resolution can aid in identifying the arms of a study, an often overlooked piece of(More)
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