ECNU at 2017 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine
نویسندگان
چکیده
The 2017 CLEF eHeath Task2 requires to rank the retrieval results given by medical database. The purpose is to reduce efforts that experts devote to finding indeed relevant documents. We utilize a customized Learning-to-Rank model to re-rank the retrieval result. Additionally, we adopt word2vec to represent queries and documents and compute the relevant score by cosine distance. We find that the combination of the two methods achieves a better performance.
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