摘要
The 2018 CLEF eHealth Task 2 has two sub-tasks in order to write a systematic review of evidence-based medicine. Researchers are required to retrieve relevant documents given by medical database for each query (sub-task 1) and re-rank the documents with the results of the Boolean search as the starting point (sub-task 2). We adopt BM25 with query expansion to acquire basic relationship and utilize a customized Paragraph2Vector to represent queries /documents trained by the training set of Boolean search. To compute the relevant score of given query-document pair, cosine similarity and logistic regression are taken in our experiments. Finally, we find that the combination has a better performance.
| 源语言 | 英语 |
|---|---|
| 期刊 | CEUR Workshop Proceedings |
| 卷 | 2125 |
| 出版状态 | 已出版 - 2018 |
| 活动 | 19th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2018 - Avignon, 法国 期限: 10 9月 2018 → 14 9月 2018 |
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探究 'ECNU at 2018 eHealth Task 2: Technologically assisted reviews in empirical medicine' 的科研主题。它们共同构成独一无二的指纹。引用此
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