Abstract
This paper describes the participation of the CBNU team at the TREC Precision Medicine Track 2019. We use the cancer-centered document clusters based on graph embedding. Documents are retrieved by re-ranking documents and pseudo-relevance feedback based on cancer-centered document clusters.
| Original language | English |
|---|---|
| State | Published - 2019 |
| Event | 28th Text REtrieval Conference, TREC 2019 - Gaithersburg, United States Duration: 2019.11.13 → 2019.11.15 |
Conference
| Conference | 28th Text REtrieval Conference, TREC 2019 |
|---|---|
| Country/Territory | United States |
| City | Gaithersburg |
| Period | 19.11.13 → 19.11.15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- cancer-centered document cluster
- cancer-gene relation
- graph embedding
- Precision medicine
Quacquarelli Symonds(QS) Subject Topics
- Linguistics
- Computer Science & Information Systems
- Data Science
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