Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this document,  describe the participation of Vienna University of Technology (TUW in German) in both tasks A and B of the TREC Clinical Decision Support (TREC-CDS) Track 2015. Based on the 2014 data,  concluded that query expansion with PRF resulted in large improvements over a BM25 baseline. Thus,  investigate a manner to add an intermediary layer based on a subset of the concepts annotated by MetaMap. This acts as a way to add ight to relevant concepts in the query and slightly expand the query with the preferred name of relevant concepts, before performing the query expansion with PRF. For TREC-CDS 2014, our method could reach a precision at 10 (P@10) of 0.40, while the best result of that year was 0.39. For 2015,  could reach a P@10 of 0.41 using the intermediary layer proposed, a small improvement over our baseline of P@10 of 0.39 when using only the original query expanded with PRF.
['João R. M. Palotti', 'Allan Hanbury']
I am writing a research paper on a idea TUW @ TREC Clinical Decision Support Track 2015
[{"from": "human", "value": "I am writing a research paper on a idea TUW @ TREC Clinical Decision Support Track 2015"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this document,  describe the participation of Vienna University of Technology (TUW in German) in both tasks A and B of the TREC Clinical Decision Support (TREC-CDS) Track 2015. Based on the 2014 data,  concluded that query expansion with PRF resulted in large improvements over a BM25 baseline. Thus,  investigate a manner to add an intermediary layer based on a subset of the concepts annotated by MetaMap. This acts as a way to add ight to relevant concepts in the query and slightly expand the query with the preferred name of relevant concepts, before performing the query expansion with PRF. For TREC-CDS 2014, our method could reach a precision at 10 (P@10) of 0.40, while the best result of that year was 0.39. For 2015,  could reach a P@10 of 0.41 using the intermediary layer proposed, a small improvement over our baseline of P@10 of 0.39 when using only the original query expanded with PRF."}]