Abstract
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.
| Original language | English |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 2125 |
| State | Published - 2018 |
| Event | 19th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2018 - Avignon, France Duration: 10 Sep 2018 → 14 Sep 2018 |
Keywords
- Health Information Retrieval
- Paragraph2Vector
- Query expansion