Navid Rekabsaz

Orcid: 0000-0001-5764-8738

According to our database1, Navid Rekabsaz authored at least 66 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives.
Frontiers Big Data, 2024

Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Measuring Bias in Search Results Through Retrieval List Comparison.
Proceedings of the Advances in Information Retrieval, 2024

Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Natural language processing for humanitarian action: Opportunities, challenges, and the path toward humanitarian NLP.
Frontiers Big Data, January, 2023

Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors.
CoRR, 2023

Leveraging Vision-Language Models for Granular Market Change Prediction.
CoRR, 2023

Computational Versus Perceived Popularity Miscalibration in Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning.
Proceedings of the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Domain Information Control at Inference Time for Acoustic Scene Classification.
Proceedings of the 31st European Signal Processing Conference, 2023

Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Parameter-efficient Modularised Bias Mitigation via AdapterFusion.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results.
Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

Show me a "Male Nurse"! How Gender Bias is Reflected in the Query Formulation of Search Engine Users.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crisis Response.
CoRR, 2022

Parameter Efficient Diff Pruning for Bias Mitigation.
CoRR, 2022

Multiperspective and Multidisciplinary Treatment of Fairness in Recommender Systems Research.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Unlearning Protected User Attributes in Recommendations with Adversarial Training.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization.
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crises Response.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis.
Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements?
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022

2021
Investigating gender fairness of recommendation algorithms in the music domain.
Inf. Process. Manag., 2021

CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking.
CoRR, 2021

TripClick: The Log Files of a Large Health Web Search Engine.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

MultiHumES: Multilingual Humanitarian Dataset for Extractive Summarization.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Do Neural Ranking Models Intensify Gender Bias?
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations.
Proceedings of the Advances in Information Retrieval, 2020

2019
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains.
CoRR, 2019

On the Effect of Low-Frequency Terms on Neural-IR Models.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Enriching Word Embeddings for Patent Retrieval with Global Context.
Proceedings of the Advances in Information Retrieval, 2019

Efficient Answer-Annotation for Frequent Questions.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

2018
An Unbiased Approach to Quantification of Gender Inclination using Interpretable Word Representations.
CoRR, 2018

2017
Toward Optimized Multimodal Concept Indexing.
Trans. Comput. Collect. Intell., 2017

Addressing Cross-Lingual Word Sense Disambiguation on Low-Density Languages: Application to Persian.
CoRR, 2017

Toward Incorporation of Relevant Documents in word2vec.
CoRR, 2017

Word Embedding Causes Topic Shifting; Exploit Global Context!
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Exploration of a Threshold for Similarity Based on Uncertainty in Word Embedding.
Proceedings of the Advances in Information Retrieval, 2017

Exploring Understandability Features to Personalize Consumer Health Search. TUW at CLEF 2017 eHealth.
Proceedings of the Working Notes of CLEF 2017, 2017

Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Uncertainty in Neural Network Word Embedding: Exploration of Threshold for Similarity.
CoRR, 2016

Enhancing Information Retrieval with Adapted Word Embedding.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Standard Test Collection for English-Persian Cross-Lingual Word Sense Disambiguation.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Generalizing Translation Models in the Probabilistic Relevance Framework.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
TUW @ MediaEval 2015 Retrieving Diverse Social Images Task.
Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

Open Government Data as a Service (GoDaaS): Big Data Platform for Mobile App Developers.
Proceedings of the 3rd International Conference on Future Internet of Things and Cloud, 2015

On the use of statistical semantics for metadata-based social image retrieval.
Proceedings of the 13th International Workshop on Content-Based Multimedia Indexing, 2015

2014
TUW @ TREC Clinical Decision Support Track.
Proceedings of The Twenty-Third Text REtrieval Conference, 2014

TUW @ Retrieving Diverse Social Images Task 2014.
Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

CEA LIST's Participation at the MediaEval 2014 Retrieving Diverse Social Images Task.
Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

A Real-World Framework for Translator as Expert Retrieval.
Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Interaction, 2014


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