ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries.

Qiaosheng Chen|Weiqing Luo|Zixian Huang|Tengteng Lin|Xiaxia Wang|Ahmet Soylu|Basil Ell|Baifan Zhou|Evgeny Kharlamov|Gong Cheng


Anthology ID:DBLP:conf/sigir/ChenLHL0SEZK024
Volume:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
Year:2024
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:303-312
URL:https://doi.org/10.1145/3626772.3657866
DOI:https://doi.org/10.1145/3626772.3657866
DBLP:conf/sigir/ChenLHL0SEZK024
BibTeX:
@inproceedings{chen-2024-acordar, author = {Qiaosheng Chen and Weiqing Luo and Zixian Huang and Tengteng Lin and Xiaxia Wang and Ahmet Soylu and Basil Ell and Baifan Zhou and Evgeny Kharlamov and Gong Cheng}, editor = {Grace Hui Yang and Hongning Wang and Sam Han and Claudia Hauff and Guido Zuccon and Yi Zhang}, title = {{ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries}}, booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}}, pages = {303--312}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3626772.3657866}, doi = {https://doi.org/10.1145/3626772.3657866} }