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If you are at #TREC2022, please join us for the Deep Learning Track session which just started! 🤗 #TREC2022DL #TRECDL #TREC2023DL

Announcing brand new track for #TREC2023📣
(Please boost)

We hope Tip-of-the-Tongue (ToT) Track will be an interesting & fun IR task going beyond simple keyword-based searches with opportunities for both traditional and LLM-based approaches. #TRECToT #TREC2023ToT

If you have any questions, please reach out to me or one of my track co-organizers.

Also, if you are at #TREC2022 please drop by our poster & join the track planning session this Friday to learn more & provide feedback!

More details👇🏽

An academic poster on TREC 2023 Tip-of-the-Tongue (ToT) Track that states: "The Tip-of-the-Tongue (ToT) retrieval task is a known-item identification task where the searcher has previously experienced or consumed the item but cannot recall a reliable identifier".

Quick follow-up: Here's our poster summarizing the TREC 2022 Deep Learning track. #TREC2022DL #TREC2022 #TRECDL

An academic poster titled "Overview of the TREC 2022 Deep Learning Track".

Was a pleasure to present the 4th Deep Learning Track overview at #TREC2022. We had healthy track participation and observed bigger gaps between trad. and NN based methods, and better distribution of system performances across queries. #TREC2022DL #TRECDL

Track homepage: https://microsoft.github.io/msmarco/TREC-Deep-Learning

If you are attending #TREC2022, we hope to see you at the Deep Learning Track session this Wednesday!

Slide titled "TREC Deep Learning: Ranking in the large-data regime" describing the goal and history of the track and the focus for the 2022 edition of the track.

Slide presenting the participant statistics for the track this year.

Plots comparing traditional IR based methods ("trad") and deep learning based methods ("nnlm" and "nn") for both the passage and document ranking tasks for TREC 2022 Deep Learning Track.

Couple of boxplots showing distribution of system performances for each of the test queries in the TREC 2022 Deep Learning Track.

Super excited to be (virtually) attending #TREC2022 this week and looking forward to catching up with everyone! 🤗 Thanks Ellen Voorhees and @Ian_soboroff for kicking things off this morning!

#TREC2022

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