To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval.

Emmanouil Georgios Lionis|Jia-Huei Ju|Angelos Nalmpantis|Casper Thuis|Sean MacAvaney|Andrew Yates


Anthology ID:DBLP:conf/ecir/LionisJNTMY26
Volume:Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part I
Year:2026
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:512-528
URL:https://doi.org/10.1007/978-3-032-21289-4_33
DOI:https://doi.org/10.1007/978-3-032-21289-4_33
DBLP:conf/ecir/LionisJNTMY26
BibTeX:
@inproceedings{lionis-2026-case, author = {Emmanouil Georgios Lionis and Jia-Huei Ju and Angelos Nalmpantis and Casper Thuis and Sean MacAvaney and Andrew Yates}, editor = {Ricardo Campos and Adam Jatowt and Yanyan Lan and Mohammad Aliannejadi and Christine Bauer and Sean MacAvaney and Avishek Anand and Zhaochun Ren and Suzan Verberne and Nan Bai and Masoud Mansoury}, title = {{To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval}}, booktitle = {{Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part I}}, series = {Lecture Notes in Computer Science}, volume = {16483}, pages = {512--528}, publisher = {Springer}, year = {2026}, url = {https://doi.org/10.1007/978-3-032-21289-4_33}, doi = {https://doi.org/10.1007/978-3-032-21289-4_33} }