[ICYMI on twitter] The Deep Learning track at 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:
Coordinators: Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos.

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The "unofficial" Information Retrieval Mastodon Instance.

Goal: Make a viable and valuable social space for anyone working in Information Retrieval and related scientific research.

Everyone welcome but expect some level of geekiness on the instance and federated timelines.