MultiConAD: A Unified Multilingual Conversational Dataset for Early Alzheimer's Detection.

Arezo Shakeri|Mina Farmanbar|Krisztian Balog


Anthology ID:DBLP:conf/sigir/ShakeriFB25
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:3627-3637
URL:https://doi.org/10.1145/3726302.3730313
DOI:https://doi.org/10.1145/3726302.3730313
DBLP:conf/sigir/ShakeriFB25
BibTeX:
@inproceedings{shakeri-2025-multiconad, author = {Arezo Shakeri and Mina Farmanbar and Krisztian Balog}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{MultiConAD: A Unified Multilingual Conversational Dataset for Early Alzheimer's Detection}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {3627--3637}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3730313}, doi = {https://doi.org/10.1145/3726302.3730313} }