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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. |
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2023 Conference Publication Open-source large language models are strong zero-shot query likelihood models for document rankingZhuang, Shengyao, Liu, Bing, Koopman, Bevan and Zuccon, Guido (2023). Open-source large language models are strong zero-shot query likelihood models for document ranking. Conference on Empirical Methods in Natural Language Processing, Singapore, 6-10 December 2023. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2023.findings-emnlp.590 |
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2023 Conference Publication Dr ChatGPT tell me what I want to hear: how different prompts impact health answer correctnessKoopman, Bevan and Zuccon, Guido (2023). Dr ChatGPT tell me what I want to hear: how different prompts impact health answer correctness. EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, 6-10 December 2023. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2023.emnlp-main.928 |
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2022 Conference Publication The task: distinguishing tasks and sessions in legal information retrievalWiggers, Gineke and Zuccon, Guido (2022). The task: distinguishing tasks and sessions in legal information retrieval. ADCS '22: Australasian Document Computing Symposium, Adelaide, SA, Australia, 15-16 December 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3572960.3572983 |
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2022 Conference Publication Neural rankers for effective screening prioritisation in medical systematic review literature searchWang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2022). Neural rankers for effective screening prioritisation in medical systematic review literature search. 26th Australasian Document Computing Symposium, Adelaide, SA, Australia, 15-16 December 2022. New York, NY, United States: ACM. doi: 10.1145/3572960.3572980 |
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2022 Conference Publication Pseudo-relevance feedback with dense retrievers in PyseriniLi, Hang, Zhuang, Shengyao, Ma, Xueguang, Lin, Jimmy and Zuccon, Guido (2022). Pseudo-relevance feedback with dense retrievers in Pyserini. ADCS '22: Australasian Document Computing Symposium, Adelaide, SA, Australia, 15-16 December 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3572960.3572982 |
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2022 Conference Publication Robustness of neural rankers to typos: a comparative studyZhuang, Shengyao, Mao, Xinyu and Zuccon, Guido (2022). Robustness of neural rankers to typos: a comparative study. 26th Australasian Document Computing Symposium, Adelaide, SA, Australia, 15-16 December 2022. New York, NY, United States: ACM. doi: 10.1145/3572960.3572981 |
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2022 Conference Publication Guiding Neural Entity Alignment with CompatibilityLiu, Bing, Scells, Harrisen, Hua, Wen, Zuccon, Guido, Zhao, Genghong and Zhang, Xia (2022). Guiding Neural Entity Alignment with Compatibility. 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, 7-11 December 2022. Stroudsburg, PA United States: Association for Computational Linguistics. doi: 10.18653/v1/2022.emnlp-main.32 |
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2022 Journal Article Automated MeSH term suggestion for effective query formulation in systematic reviews literature searchWang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2022). Automated MeSH term suggestion for effective query formulation in systematic reviews literature search. Intelligent Systems with Applications, 16 200141, 1-14. doi: 10.1016/j.iswa.2022.200141 |
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2022 Conference Publication SCC - a test collection for search in chat conversationsSabei, Ismail, Mourad, Ahmed and Zuccon, Guido (2022). SCC - a test collection for search in chat conversations. 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA USA, 17-21 October 2022. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3511808.3557692 |
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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 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 |
