2022

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Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences
Daniel Cohen | Kevin Du | Bhaskar Mitra | Laura Mercurio | Navid Rekabsaz | Carsten Eickhoff
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

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Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization
George Zerveas | Navid Rekabsaz | Daniel Cohen | Carsten Eickhoff
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

2021

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A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models
Oleg Lesota | Navid Rekabsaz | Daniel Cohen | Klaus Antonius Grasserbauer | Carsten Eickhoff | Markus Schedl
ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021

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Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models
Daniel Cohen | Bhaskar Mitra | Oleg Lesota | Navid Rekabsaz | Carsten Eickhoff
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

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Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates
Daniel Cohen
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

2019

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An Assumption-Free Approach to the Dynamic Truncation of Ranked Lists
Yen-Chieh Lien | Daniel Cohen | W. Bruce Croft
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019

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Learning a Better Negative Sampling Policy with Deep Neural Networks for Search
Daniel Cohen | Scott M. Jordan | W. Bruce Croft
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019

2018

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Understanding the Representational Power of Neural Retrieval Models Using NLP Tasks
Daniel Cohen | Brendan O'Connor | W. Bruce Croft
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2018, Tianjin, China, September 14-17, 2018

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WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval
Daniel Cohen | Liu Yang | W. Bruce Croft
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

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Cross Domain Regularization for Neural Ranking Models using Adversarial Learning
Daniel Cohen | Bhaskar Mitra | Katja Hofmann | W. Bruce Croft
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

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Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks
Daniel Cohen | John Foley | Hamed Zamani | James Allan | W. Bruce Croft
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

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A Hybrid Embedding Approach to Noisy Answer Passage Retrieval
Daniel Cohen | W. Bruce Croft
Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Grenoble, France, March 26-29, 2018, Proceedings

2016

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End to End Long Short Term Memory Networks for Non-Factoid Question Answering
Daniel Cohen | W. Bruce Croft
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, ICTIR 2016, Newark, DE, USA, September 12- 6, 2016

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