  We explore how to generate effective queries based on search tasks. Our
approach has three main steps: 1) identify search tasks based on research
goals, 2) manually classify search queries according to those tasks, and 3)
compare three methods to improve search rankings based on the task context. The
most promising approach is based on expanding the user's query terms using task
terms, which slightly improved the NDCG@20 scores over a BM25 baseline. Further
improvements might be gained if we can identify more specific search tasks.
