Exploring Effective Information Retrieval Technique for the Medical Web Documents: SNUMedinfo at CLEFeHealth2014 Task 3

This paper describes the participation of the SNUMedinfo team at the CLEFeHealth2014 task 3. We submitted 7 runs to Task3a (monolingual information retrieval): 1 baseline run using query likelihood model in Indri search engine; 3 runs applying UMLS based lexical query expansion utilizing discharge summary as an expansion term filter; 3 runs applying learning to rank technique utilizing various document features. We submitted 4 runs to Task3b (multilingual information retrieval): 1 baseline run using Google Translate for the English translation; 3 runs applying learning to rank technique on the translated query.