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OBJECTIVE To evaluate state-of-the-art unsupervised methods on the word sense disambiguation (WSD) task in the clinical domain. In particular, to compare graph-based approaches relying on a clinical knowledge base with bottom-up topic-modeling-based approaches. We investigate several enhancements to the topic-modeling techniques that use domain-specific(More)
— The stigma associated with mental health issues makes face-to-face discussions with family members, friends, or medical professionals difficult for many people. In contrast, the Internet, due to its ubiquity and global outreach, is increasingly becoming a popular medium for distressed individuals to anonymously relate experiences. In this paper, we(More)
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