De-Noising Document Classification Benchmarks via Prompt-based Rank Pruning: A Case Study
M. Wiegmann, B. Stein, und M. Potthast. Experimental IR Meets Multilinguality, Multimodality, and Interaction. 15th International Conference of the CLEF Association (CLEF 2024), Volume 14958 von Lecture Notes in Computer Science, Seite 172-178. Berlin Heidelberg New York, Springer, (September 2024)
DOI: 10.1007/978-3-031-71736-9_12
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%0 Conference Paper
%1 wiegmann2024denoising
%A Wiegmann, Matti
%A Stein, Benno
%A Potthast, Martin
%B Experimental IR Meets Multilinguality, Multimodality, and Interaction. 15th International Conference of the CLEF Association (CLEF 2024)
%C Berlin Heidelberg New York
%D 2024
%E Goeuriot, Lorraine
%E Mulhem, Philippe
%E Quénot, Georges
%E Schwab, Didier
%E Nunzio, Giorgio Maria Di
%E Soulier, Laure
%E Galuscakova, Petra
%E García Seco de Herrera, Alba
%E Faggioli, Guglielmo
%E Ferro, Nicola
%I Springer
%K yaff
%P 172-178
%R 10.1007/978-3-031-71736-9_12
%T De-Noising Document Classification Benchmarks via Prompt-based Rank Pruning: A Case Study
%V 14958
@inproceedings{wiegmann2024denoising,
added-at = {2025-03-12T15:57:53.000+0100},
address = {Berlin Heidelberg New York},
author = {Wiegmann, Matti and Stein, Benno and Potthast, Martin},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2521781f70e5c3ce37f458d74d0c2f16f/scadsfct},
booktitle = {Experimental IR Meets Multilinguality, Multimodality, and Interaction. 15th International Conference of the CLEF Association (CLEF 2024)},
doi = {10.1007/978-3-031-71736-9_12},
editor = {Goeuriot, Lorraine and Mulhem, Philippe and Quénot, Georges and Schwab, Didier and Nunzio, Giorgio Maria Di and Soulier, Laure and Galuscakova, Petra and García Seco de Herrera, Alba and Faggioli, Guglielmo and Ferro, Nicola},
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intrahash = {521781f70e5c3ce37f458d74d0c2f16f},
keywords = {yaff},
month = sep,
pages = {172-178},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
site = {Grenoble, France},
timestamp = {2025-03-12T15:57:53.000+0100},
title = {De-Noising Document Classification Benchmarks via Prompt-based Rank Pruning: A Case Study},
volume = 14958,
year = 2024
}