Follow

[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: microsoft.github.io/TREC-2019-
Coordinators: Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos.

Please share.

Sign in to participate in the conversation
Mastodon

The "unofficial" Information Retrieval Mastodon Instance.

Goal: Make idf.social 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.