Abstract
We built a Docker image for BM25PRF (BM25 with Pseudo Relevance Feedback) retrieval model with Anserini. Also, grid search is provided in the Docker image for parameter tuning. Experimental results suggest that BM25PRF with default parameters outperforms vanilla BM25 on robust04, but tuning parameters on 49 topics of robust04 did not further improve its effectiveness.
| Original language | English |
|---|---|
| Pages (from-to) | 62-63 |
| Number of pages | 2 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2409 |
| Publication status | Published - 2019 Jan 1 |
| Event | 2019 Open-Source IR Replicability Challenge, OSIRRC 2019 - Paris, France Duration: 2019 Jul 25 → … |
ASJC Scopus subject areas
- Computer Science(all)