NTCIR-ToT 2026

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Authors: Xuhong He, To Eun Kim, Fernando Díaz, Maik Fröbe, Jaime Arguello, Bhaskar Mitra
Cited by: 0

Abstract

The NTCIR-2026 Tip-of-the-Tongue Dataset This dataset contains the corpus and the queries for the 2026 Tip-of-the-tongue shared task hosted at NTCIR. The 2026 ToT track is multi-lingual and can be accessed via IR-Dataset.

Fields of Study & Subjects

Information Retrieval and Search Behavior Natural Language Processing Techniques Topic Modeling

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 February 2026
Language
ENC
Document type
Dataset