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Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers


Apr 28, 2021
Navid Rekabsaz, Simone Kopeinik, Markus Schedl

* Accepted at SIGIR 2021 

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TripClick: The Log Files of a Large Health Web Search Engine


Mar 14, 2021
Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff


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Do Neural Ranking Models Intensify Gender Bias?


May 22, 2020
Navid Rekabsaz, Markus Schedl

* Accepted at ACM SIGIR 2020 

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Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains


May 29, 2019
Navid Rekabsaz, Nikolaos Pappas, James Henderson, Banriskhem K. Khonglah, Srikanth Madikeri


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An Unbiased Approach to Quantification of Gender Inclination using Interpretable Word Representations


Dec 13, 2018
Navid Rekabsaz, Allan Hanbury

* arXiv admin note: text overlap with arXiv:1707.06598 

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Toward Incorporation of Relevant Documents in word2vec


Apr 04, 2018
Navid Rekabsaz, Bhaskar Mitra, Mihai Lupu, Allan Hanbury

* Neu-IR Workshop at the ACM Conference on Research and Development in Information Retrieval (NeuIR-SIGIR 2017) 

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Uncertainty in Neural Network Word Embedding: Exploration of Threshold for Similarity


Apr 04, 2018
Navid Rekabsaz, Mihai Lupu, Allan Hanbury

* Neu-IR Workshop at the ACM Conference on Research and Development in Information Retrieval (NeuIR-SIGIR 2016) 

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Addressing Cross-Lingual Word Sense Disambiguation on Low-Density Languages: Application to Persian


Mar 21, 2018
Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Andres Duque


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