RePair: An Extensible Toolkit to Generate Large-Scale Datasets for Query Refinement via Transformers.

Yogeswar Lakshmi Narayanan|Hossein Fani


Anthology ID:DBLP:conf/cikm/NarayananF23
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:5376-5380
URL:https://doi.org/10.1145/3583780.3615129
DOI:https://doi.org/10.1145/3583780.3615129
DBLP:conf/cikm/NarayananF23
BibTeX:
@inproceedings{narayanan-2023-repair, author = {Yogeswar Lakshmi Narayanan and Hossein Fani}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{RePair: An Extensible Toolkit to Generate Large-Scale Datasets for Query Refinement via Transformers}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {5376--5380}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3615129}, doi = {https://doi.org/10.1145/3583780.3615129} }