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2022 Conference Publication High-quality task division for large-scale entity alignmentLiu, Bing, Hua, Wen, Zuccon, Guido, Zhao, Genghong and Zhang, Xia (2022). High-quality task division for large-scale entity alignment. 31st ACM International Conference on Information and Knowledge Management, Atlanta, GA, United States, 17 - 21 October 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3511808.3557352 |
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2022 Conference Publication The impact of query refinement on systematic review literature search: a query log analysisScells, Harrisen, Forbes, Connor, Clark, Justin, Koopman, Bevan and Zuccon, Guido (2022). The impact of query refinement on systematic review literature search: a query log analysis. 2022 ACM SIGIR International Conference on Theory of Information Retrieval, New York, NY USA, 11-12 July 2022. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3539813.3545143 |
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2022 Journal Article Reinforcement online learning to rank with unbiased reward shapingZhuang, Shengyao, Qiao, Zhihao and Zuccon, Guido (2022). Reinforcement online learning to rank with unbiased reward shaping. Information Retrieval Journal, 25 (4), 1-28. doi: 10.1007/s10791-022-09413-y |
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2022 Conference Publication Rethinking persistent homology for visual recognitionKhramtsova, Ekaterina, Zuccon, Guido, Wang, Xi and Baktashmotlagh, Mahsa (2022). Rethinking persistent homology for visual recognition. Topological, Algebraic and Geometric Learning Workshops, Online, 25-22 July 2022. Brookline, MA United States: ML Research Press. |
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2022 Conference Publication Implicit feedback for dense passage retrieval: a counterfactual approachZhuang, Shengyao, Li, Hang and Zuccon, Guido (2022). Implicit feedback for dense passage retrieval: a counterfactual approach. 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Madrid, Spain, 11 - 15 July 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531994 |
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2022 Conference Publication Asyncval: a toolkit for asynchronously validating dense retriever checkpoints during trainingZhuang, Shengyao and Zuccon, Guido (2022). Asyncval: a toolkit for asynchronously validating dense retriever checkpoints during training. 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Madrid, Spain, 11 - 15 July 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531658 |
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2022 Conference Publication Reduce, reuse, recycle: green information retrieval researchScells, Harrisen, Zhuang, Shengyao and Zuccon, Guido (2022). Reduce, reuse, recycle: green information retrieval research. 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11 - 15 July 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531766 |
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2022 Conference Publication To Interpolate or not to Interpolate: PRF, dense and sparse retrieversLi, Hang, Wang, Shuai, Zhuang, Shengyao, Mourad, Ahmed, Ma, Xueguang, Lin, Jimmy and Zuccon, Guido (2022). To Interpolate or not to Interpolate: PRF, dense and sparse retrievers. SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 July 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531884 |
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2022 Conference Publication CharacterBERT and self-teaching for improving the robustness of dense retrievers on queries with typosZhuang, Shengyao and Zuccon, Guido (2022). CharacterBERT and self-teaching for improving the robustness of dense retrievers on queries with typos. 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11 - 15 July 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531951 |
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2022 Conference Publication Is Non-IID Data a Threat in Federated Online Learning to Rank?Wang, Shuyi and Zuccon, Guido (2022). Is Non-IID Data a Threat in Federated Online Learning to Rank?. SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11 - 15 July 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3477495.3531709 |
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2022 Conference Publication How does feedback signal quality impact effectiveness of pseudo relevance feedback for passage retrievalLi, Hang, Mourad, Ahmed, Koopman, Bevan and Zuccon, Guido (2022). How does feedback signal quality impact effectiveness of pseudo relevance feedback for passage retrieval. 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11 - 15 July 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531822 |
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2022 Conference Publication From little things big things grow: a collection with seed studies for medical systematic review literature searchWang, Shuai, Scells, Harrisen, Clark, Justin, Koopman, Bevan and Zuccon, Guido (2022). From little things big things grow: a collection with seed studies for medical systematic review literature search. SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 July 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531748 |
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2022 Conference Publication Seed-driven document ranking for systematic reviews: a reproducibility studyWang, Shuai, Scells, Harrisen, Mourad, Ahmed and Zuccon, Guido (2022). Seed-driven document ranking for systematic reviews: a reproducibility study. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, 10–14 April 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-99736-6_46 |
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2022 Other Outputs CharacterBERT and self-teaching for improving the robustness of dense retrievers on queries with typosZhuang, Shengyao and Zuccon, Guido (2022). CharacterBERT and self-teaching for improving the robustness of dense retrievers on queries with typos. |
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2022 Conference Publication Causality discovery based on combined causes and multiple causes in drug-drug interactionSubpaiboonkit, Sitthichoke, Li, Xue, Zhao, Xin and Zuccon, Guido (2022). Causality discovery based on combined causes and multiple causes in drug-drug interaction. 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, 28-30 November 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-22064-7_5 |
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2022 Other Outputs AgvaluateLi, Hang, Zuccon, Guido, Koopman, Bevan and Mourad, Ahmed (2022). Agvaluate. The University of Queensland. (Dataset) doi: 10.48610/0160dc7 |
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2022 Conference Publication Improving query representations for dense retrieval with pseudo relevance feedback: a reproducibility studyLi, Hang, Zhuang, Shengyao, Mourad, Ahmed, Ma, Xueguang, Lin, Jimmy and Zuccon, Guido (2022). Improving query representations for dense retrieval with pseudo relevance feedback: a reproducibility study. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, 10-14 April 2022. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-99736-6_40 |
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2021 Conference Publication Cohort-based clinical trial retrievalKoopman, Bevan and Zuccon, Guido (2021). Cohort-based clinical trial retrieval. Australasian Document Computing Symposium, Virtual, 9 December 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3503516.3503529 |
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2021 Conference Publication MeSH Term Suggestion for Systematic Review Literature SearchWang, Shuai, Li, Hang, Scells, Harrisen, Locke, Daniel and Zuccon, Guido (2021). MeSH Term Suggestion for Systematic Review Literature Search. Australasian Document Computing Symposium, Melbourne, VIC, Australia, 9 December 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3503516.3503530 |
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2021 Conference Publication ActiveEA: Active learning for neural entity alignmentLiu, Bing, Scells, Harrisen, Zuccon, Guido, Hua, Wen and Zhao, Genghong (2021). ActiveEA: Active learning for neural entity alignment. 2021 Conference on Empirical Methods in Natural Language Processing, Punta Cana, Dominican Republic, November 2021. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2021.emnlp-main.270 |
