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2023 Conference Publication Typos-aware bottlenecked pre-training for robust dense retrievalZhuang, Shengyao, Shou, Linjun, Pei, Jian, Gong, Ming, Ren, Houxing, Zuccon, Guido and Jiang, Daxin (2023). Typos-aware bottlenecked pre-training for robust dense retrieval. SIGIR-AP '23: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Beijing, China, 26 - 28 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3624918.3625324 |
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2023 Conference Publication Annotating data for fine-tuning a neural ranker? Current active learning strategies are not better than random selectionAlthammer, Sophia, Zuccon, Guido, Hofstätter, Sebastian, Verberne, Suzan and Hanbury, Allan (2023). Annotating data for fine-tuning a neural ranker? Current active learning strategies are not better than random selection. SIGIR-AP 2023 - Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Beijing, China, 26 - 28 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3624918.3625333 |
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2023 Journal Article Active learning with feature matching for clinical named entity recognitionLe, Linh, Demartini, Gianluca, Zuccon, Guido, Zhao, Genghong and Zhang, Xia (2023). Active learning with feature matching for clinical named entity recognition. Natural Language Processing Journal, 4 100015, 1-11. doi: 10.1016/j.nlp.2023.100015 |
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2023 Conference Publication An analysis of untargeted poisoning attack and defense methods for federated online learning to rank systemsWang, Shuyi and Zuccon, Guido (2023). An analysis of untargeted poisoning attack and defense methods for federated online learning to rank systems. ICTIR '23: The 2023 ACM SIGIR International Conference on the Theory of Information Retrieval, Taipei, Taiwan, 23 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3578337.3605117 |
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2023 Conference Publication Exploring the representation power of SPLADE modelsMackenzie, Joel, Zhuang, Shengyao and Zuccon, Guido (2023). Exploring the representation power of SPLADE models. ICTIR '23: The 2023 ACM SIGIR International Conference on the Theory of Information Retrieval, Taipei, Taiwan, 23 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3578337.3605129 |
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2023 Conference Publication Outcome-based evaluation of systematic review automationKusa, Wojciech, Zuccon, Guido, Knoth, Petr and Hanbury, Allan (2023). Outcome-based evaluation of systematic review automation. ICTIR '23: The 2023 ACM SIGIR International Conference on the Theory of Information Retrieval, Taipei, Taiwan, 23 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3578337.3605135 |
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2023 Conference Publication Beyond CO2 emissions: the overlooked impact of water consumption of information retrieval modelsZuccon, Guido, Scells, Harrisen and Zhuang, Shengyao (2023). Beyond CO2 emissions: the overlooked impact of water consumption of information retrieval models. ICTIR '23: The 2023 ACM SIGIR International Conference on the Theory of Information Retrieval, Taipei, Taiwan, 23 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3578337.3605121 |
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2023 Conference Publication Balanced topic aware sampling for effective dense retriever: a reproducibility studyWang, Shuai and Zuccon, Guido (2023). Balanced topic aware sampling for effective dense retriever: a reproducibility study. 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 23 - 27 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3539618.3591915 |
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2023 Conference Publication Can ChatGPT write a good Boolean query for systematic review literature search?Wang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2023). Can ChatGPT write a good Boolean query for systematic review literature search?. 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 23 - 27 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3539618.3591703 |
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2023 Conference Publication Augmenting passage representations with query generation for enhanced cross-lingual dense retrievalZhuang, Shengyao, Shou, Linjun and Zuccon, Guido (2023). Augmenting passage representations with query generation for enhanced cross-lingual dense retrieval. 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 23 - 27 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3539618.3591952 |
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2023 Journal Article Artificial Intelligence in Evidence-based Medicine:Challenges and OpportunitiesLi, Xue, Zou, Catherine, Boots, Robert, Wang, Sen, Chen, Weitong and Zuccon, Guido (2023). Artificial Intelligence in Evidence-based Medicine:Challenges and Opportunities. World Scientific Annual Review of Artificial Intelligence, 01. doi: 10.1142/s2811032323300025 |
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2023 Journal Article Efficient diversification for recommending aggregate data visualizationsSharaf, Mohamed A., Mafrur, Rischan and Zuccon, Guido (2023). Efficient diversification for recommending aggregate data visualizations. IEEE Access, 11, 1-1. doi: 10.1109/access.2023.3283457 |
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2023 Conference Publication Leveraging Semantic Type Dependencies for Clinical Named Entity RecognitionLe, Linh, Zuccon, Guido, Demartini, Gianluca, Zhao, Genghong and Zhang, Xia (2023). Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition. AMIA 2022 Annual Symposium, Washington, DC United States, 5-9 November 2022. Bethesda, MD United States: American Medical Informatics Association. |
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2023 Conference Publication A Reproducibility Study of Question Retrieval for Clarifying QuestionsCross, Sebastian, Zuccon, Guido and Mourad, Ahmed (2023). A Reproducibility Study of Question Retrieval for Clarifying Questions. 45th European Conference on Information Retrieval (ECIR), Dublin, Ireland, 2-6 April 2023. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-28241-6_3 |
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2023 Conference Publication AgAsk: A conversational search agent for answering agricultural questionsLi, Hang, Koopman, Bevan, Mourad, Ahmed and Zuccon, Guido (2023). AgAsk: A conversational search agent for answering agricultural questions. 16th ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 - 3 March 2023. New York, NY United States: ACM. doi: 10.1145/3539597.3573034 |
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2023 Conference Publication MeSH suggester: a library and system for MeSH term suggestion for systematic review Boolean query constructionWang, Shuai, Li, Hang and Zuccon, Guido (2023). MeSH suggester: a library and system for MeSH term suggestion for systematic review Boolean query construction. Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February - 3 March 2023. New York, NY, United States: ACM. doi: 10.1145/3539597.3573025 |
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2023 Conference Publication Dependency-aware self-training for entity alignmentLiu, Bing, Lan, Tiancheng, Hua, Wen and Zuccon, Guido (2023). Dependency-aware self-training for entity alignment. WSDM '23: The Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February-3 March 2023. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3539597.3570370 |
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2023 Journal Article Pseudo relevance feedback with deep language models and dense retrievers: successes and pitfallsLi, Hang, Mourad, Ahmed, Zhuang, Shengyao, Koopman, Bevan and Zuccon, Guido (2023). Pseudo relevance feedback with deep language models and dense retrievers: successes and pitfalls. ACM Transactions on Information Systems, 41 (3) 62, 1-40. doi: 10.1145/3570724 |
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2023 Conference Publication Pretrained language models rankers on private data: is online and federated learning the solution?Zuccon, Guido (2023). Pretrained language models rankers on private data: is online and federated learning the solution?. DESIRES 2022: Design of Experimental Search & Information REtrieval Systems, San Jose, CA, United States, 30-31 August 2022. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen Lehrstuhl Informatik. |
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2023 Conference Publication Convolutional Persistence as a Remedy to Neural Model AnalysisKhramtsova, Ekaterina, Zuccon, Guido, Wang, Xi and Baktashmotlagh, Mahsa (2023). Convolutional Persistence as a Remedy to Neural Model Analysis. International Conference on Artificial Intelligence and Statistics, Valencia, Spain, 25-27 April 2023. Brookline, MA United States: ML Research Press. |
