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Many forms of linguistic analysis, such as part of speech tagging, named entity recognition, and other sequence labeling tasks are performed on short spans of text and assume statistical dependence within a window of only a few tokens. We propose using passage retrieval to induce non-local dependencies in structured classification that generalizes earlier work in context aggregation for namedentity recognition. We introduce a new method for feature expansion inspired by psuedo-relevancedoi:10.1145/2063576.2063633 dblp:conf/cikm/DaltonAS11 fatcat:wjmxnrbhtndt5ao75ahcefch6e