Julie Wulff

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We propose a simple cross-language parser adaptation strategy for discriminative parsers and apply it to easy-first transition-based dependency parsing (Goldberg and Elhadad, 2010). We evaluate our parsers on the Indo-European corpora in the CoNLL-X and CoNLL 2007 shared tasks. Using the remaining languages as source data we average under-fitted weights(More)
Do user populations differ systematically in the way they express and rate sentiment? We use large collections of Danish and U.S. film reviews to investigate this question, and we find evidence of important systematic differences: first, positive ratings are far more common in the U.S. data than in the Danish data. Second, highly positive terms occur far(More)
Brown clusters enable POS taggers to generalize better to words that did not occur in the labeled data, clustering distributionally similar seen and unseen words, thereby making models more robust to sparsity effects and domain shifts. However, Brown clustering is a transductive clustering method, and OOV effects still arise. Words neither in the labeled(More)
Do user populations differ systematically in the way they express and rate sentiment? We use large collections of Danish and U.S. reviews to investigate this question, and we find evidence of important systematic differences: first, positive ratings are far more common in the U.S. data than in the Danish data. Second, Danish reviewers tend to under-rate(More)
PURPOSE To describe the prevalence, location, severity, and daily impact of pain reported by youth and young adults with cerebral palsy (CP). A secondary aim was to identify any significant associations between the constructs of interest. METHOD An observational study of 112 participants with CP to understand their experience of pain through a(More)
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