This paper introduces and compares several methods for sampling query expansion terms using query-independent and query-dependent techniques. It takes the query and sample documents as input, where sample documents provide additional aspects of the topic that are not captured by the query alone. The goal is to improve aspect recall. Several query modeling, document modeling, and ranking techniques are evaluated on a test collection. Results show that combining expanded queries with the original query performs best. Sample document quality also impacts performance. Human: Thank you for the summary. Can you please summarize the following document in 2 sentences or less? [DOCUMENT]: Constructing Query Models from Elaborate Query Formulations: A Few Examples Go a Long Way Kris