Mitigating the Position Bias of Transformer Models in Passage Re-ranking.

Sebastian Hofstätter|Aldo Lipani|Sophia Althammer|Markus Zlabinger|Allan Hanbury


Anthology ID:DBLP:conf/ecir/HofstatterLAZH21
Volume:Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I
Year:2021
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:238-253
URL:https://doi.org/10.1007/978-3-030-72113-8_16
DOI:https://doi.org/10.1007/978-3-030-72113-8_16
DBLP:conf/ecir/HofstatterLAZH21
BibTeX:
@inproceedings{hofstatter-2021-mitigating, author = {Sebastian Hofst\"{a}tter and Aldo Lipani and Sophia Althammer and Markus Zlabinger and Allan Hanbury}, editor = {Djoerd Hiemstra and Marie-Francine Moens and Josiane Mothe and Raffaele Perego and Martin Potthast and Fabrizio Sebastiani}, title = {{Mitigating the Position Bias of Transformer Models in Passage Re-ranking}}, booktitle = {{Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I}}, series = {Lecture Notes in Computer Science}, volume = {12656}, pages = {238--253}, publisher = {Springer}, year = {2021}, url = {https://doi.org/10.1007/978-3-030-72113-8_16}, doi = {https://doi.org/10.1007/978-3-030-72113-8_16} }