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Survivorship bias is the tendency to concentrate on the positive outcomes of a selection process and overlook the results that generate negative outcomes.
Abraham Wald’s Work on Aircraft Survivability
Marc Mangel and Francisco J. Samaniego. 1984 · 1984
Earlier work this paper cites.
Overview of the Ninth Text REtrieval Conference (TREC-9). In Proceedings of The Ninth Text REtrieval Conference, TREC 2000, Gaithersburg, Maryland, USA, November 13-16, 2000 (NIST Special Publication, Vol. 500-249) . National Institute of Standards and Technology (NIST)
Ellen M. Voorhees and Donna Harman. 2000 · 2000
Earlier work this paper cites.
Overview of the TREC 2004 Robust Track. In Proceedings of the Thirteenth Text REtrieval Conference, TREC 2004, Gaithersburg, Maryland, USA, November 16-19, 2004 (NIST Special Publication, Vol. 500-261) . National Institute of Standards and Technology (NIST)
Ellen M. Voorhees. 2004 · 2004
Earlier work this paper cites.
Accurately interpreting clickthrough data as implicit feedback. In SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Salvador, Brazil, August 15-19, 2005 . ACM, 154–161
Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, and Geri Gay. 2005 · 2005
Earlier work this paper cites.
TREC: Experiment and evaluation in information retrieval . Vol. 63
Ellen M Voorhees, Donna K Harman, et al · 2005
Earlier work this paper cites.
PARADE: Passage Representation Aggregation for Document Reranking
Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, and Yingfei Sun. 2020 · 2008
Earlier work this paper cites.
The Probabilistic Relevance Framework: BM25 and Beyond
Stephen E. Robertson and Hugo Zaragoza. 2009 · 2009
Earlier work this paper cites.
Deciding on an adjustment for multiplicity in IR experiments. In The 36th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR ’13, Dublin, Ireland - July 28 - August 01, 2013 . ACM, 403–412
Leonid Boytsov, Anna Belova, and Peter Westfall. 2013 · 2013
Earlier work this paper cites.
Impact of Query Sample Selection Bias on Information Retrieval System Ranking. In 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA) . 341–350
Massimo Melucci. 2016 · 2016
Earlier work this paper cites.
Maybe Best Practices Aren’t: How Survivorship Bias Skews Information Gathering and Decision-Making
Patricia Katopol. 2017 · 2017
Earlier work this paper cites.
Overview of the TREC 2019 Deep Learning Track. In Proceedings of the Twenty-Eighth Text REtrieval Conference, TREC 2019 (NIST Special Publication) . National Institute of Standards and Technology (NIST)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, and Ellen M. Voorhees. 2019 · 2019
Cited alongside, same era.
Overview of the TREC 2020 Deep Learning Track. In Proceedings of the Twenty-Ninth Text REtrieval Conference, TREC 2020, Virtual Event [Gaithersburg, Maryland, USA], November 16-20, 2020 (NIST Special Publication, Vol. 1266) . National Institute of Standards and Technology (NIST)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, and Daniel Campos. 2020 · 2020
Cited alongside, same era.
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. In Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020 . ACM, 39–48
Omar Khattab and Matei Zaharia. 2020 · 2020
Cited alongside, same era.
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval. In Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021) . Association for Computational Linguistics, Online, 163–173
Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. 2021 · 2021
Later among the works it cites.
Simplified Data Wrangling with ir_datasets. In SIGIR ’21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 . ACM, 2429–2436
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, and Nazli Goharian. 2021 · 2021
Later among the works it cites.
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. In CIKM ’21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 . ACM, 4526–4533
Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, and Iadh Ounis. 2021 · 2021
Later among the works it cites.
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SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Online, 4171–4179
Sean MacAvaney, Arman Cohan, and Nazli Goharian. 2020a · 2020
Cited alongside, same era.
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-Shot Learning. In Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II (Lecture Notes in Computer Science, Vol. 12036) . Springer, 246–254
Sean MacAvaney, Luca Soldaini, and Nazli Goharian. 2020b · 2020
Cited alongside, same era.
Shallow pooling for sparse labels
Negar Arabzadeh, Alexandra Vtyurina, Xinyi Yan, and Charles L. A. Clarke. 2021 · 2021
Cited alongside, same era.
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. In SIGIR ’21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 . ACM, 1566–1576
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, and Jimmy Lin. 2021a · 2021
Cited alongside, same era.
Overview of the TREC 2021 Deep Learning Track. In Proceedings of the Thirtieth Text REtrieval Conference, TREC 2021 (NIST Special Publication) . National Institute of Standards and Technology (NIST)
Nick Craswell, Emine Yilmaz, Daniel Campos, and Jimmy Lin. 2021b · 2021
Cited alongside, same era.
Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales
Marco Ferrante, Nicola Ferro, and Norbert Fuhr. 2021 · 2021
Cited alongside, same era.
Joel Mackenzie, Matthias Petri, and Alistair Moffat. 2021 · 2021
Later among the works it cites.
How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. In SIGIR ’21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 . ACM, 2335–2341
Iain Mackie, Jeffrey Dalton, and Andrew Yates. 2021 · 2021
Later among the works it cites.
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Ronak Pradeep, Rodrigo Nogueira, and Jimmy Lin. 2021 · 2021
Later among the works it cites.
BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, and Iryna Gurevych. 2021 · 2021
Later among the works it cites.
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. In International Conference on Learning Representations
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, and Arnold Overwijk. 2021 · 2021
Later among the works it cites.
Can Old TREC Collections Reliably Evaluate Modern Neural Retrieval Models?
Ellen M. Voorhees, Ian Soboroff, and Jimmy Lin. 2022 · 2022
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