Journal Articles
Li, 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
Koopman, Bevan, Mourad, Ahmed, Li, Hang, van der Vegt, Anton, Zhuang, Shengyao, Gibson, Simon, Dang, Yash, Lawrence, David and Zuccon, Guido (2023). AgAsk: an agent to help answer farmer’s questions from scientific documents. International Journal on Digital Libraries. doi: 10.1007/s00799-023-00369-y
Yang, Zhijun, Wang, Yang, Gan, Jianhou, Li, Hang and Lei, Ning (2021). Design and research of intelligent question-answering(Q&A) system based on high school course knowledge graph. Mobile Networks and Applications, 26 (5), 1884-1890. doi: 10.1007/s11036-020-01726-w
Conference Papers
Wang, Shuai, Li, Hang and Zuccon, Guido (2023). MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction. New York, NY, USA: ACM. doi: 10.1145/3539597.3573025
Li, Hang, Koopman, Bevan, Mourad, Ahmed and Zuccon, Guido (2023). AgAsk: A Conversational Search Agent for Answering Agricultural Questions. New York, NY, USA: ACM. doi: 10.1145/3539597.3573034
Li, 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
Zhuang, 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
Li, 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
Li, 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
Li, 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
Wang, 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
Zhuang, Shengyao, Li, Hang and Zuccon, Guido (2021). Deep query likelihood model for information retrieval. The 43rd European Conference On Information Retrieval (ECIR), Lucca, Italy - online event, March 28–April 1, 2021. Cham, Switzerland: Elsevier. doi: 10.1007/978-3-030-72240-1_49
Li, Hang, Scells, Harrisen and Zuccon, Guido (2020). Systematic review automation tools for end-to-end query formulation. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Virtual, July 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3397271.3401402
Data Collection
Li, Hang, Zuccon, Guido, Koopman, Bevan and Mourad, Ahmed (2022). Agvaluate. The University of Queensland. (Dataset) doi: 10.48610/0160dc7