[ICYMI on twitter] The Deep Learning track at #TREC2019 will feature two tasks—a DOCUMENT RANKING task and a PASSAGE RANKING task—both with large training datasets.
Approximate dataset stats: 367K training queries + 3.2M documents for the document ranking task; and 500K training queries + 8.8M passages for the passage ranking task.
Official guidelines: https://microsoft.github.io/TREC-2019-Deep-Learning/
Coordinators: Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos.
Please share. #TRECDL2019