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2023

Conference Publication

Exploring the representation power of SPLADE models

Mackenzie, 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

Exploring the representation power of SPLADE models

2023

Conference Publication

Outcome-based evaluation of systematic review automation

Kusa, 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

Outcome-based evaluation of systematic review automation

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

Can ChatGPT write a good Boolean query for systematic review literature search?

2023

Conference Publication

Augmenting passage representations with query generation for enhanced cross-lingual dense retrieval

Zhuang, 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

Augmenting passage representations with query generation for enhanced cross-lingual dense retrieval

2023

Conference Publication

Balanced topic aware sampling for effective dense retriever: a reproducibility study

Wang, 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

Balanced topic aware sampling for effective dense retriever: a reproducibility study

2023

Conference Publication

Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition

Le, 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.

Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition

2023

Conference Publication

A Reproducibility Study of Question Retrieval for Clarifying Questions

Cross, 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

A Reproducibility Study of Question Retrieval for Clarifying Questions

2023

Conference Publication

MeSH suggester: a library and system for MeSH term suggestion for systematic review Boolean query construction

Wang, 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

MeSH suggester: a library and system for MeSH term suggestion for systematic review Boolean query construction

2023

Conference Publication

Dependency-aware self-training for entity alignment

Liu, 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

Dependency-aware self-training for entity alignment

2023

Conference Publication

AgAsk: A conversational search agent for answering agricultural questions

Li, 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

AgAsk: A conversational search agent for answering agricultural questions

2023

Conference Publication

Open-source large language models are strong zero-shot query likelihood models for document ranking

Zhuang, 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

Open-source large language models are strong zero-shot query likelihood models for document ranking

2023

Conference Publication

Convolutional Persistence as a Remedy to Neural Model Analysis

Khramtsova, 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.

Convolutional Persistence as a Remedy to Neural Model Analysis

2023

Conference Publication

Dr ChatGPT tell me what I want to hear: how different prompts impact health answer correctness

Koopman, 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

Dr ChatGPT tell me what I want to hear: how different prompts impact health answer correctness

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.

Pretrained language models rankers on private data: is online and federated learning the solution?

2022

Conference Publication

Neural rankers for effective screening prioritisation in medical systematic review literature search

Wang, 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

Neural rankers for effective screening prioritisation in medical systematic review literature search

2022

Conference Publication

Pseudo-relevance feedback with dense retrievers in Pyserini

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

Pseudo-relevance feedback with dense retrievers in Pyserini

2022

Conference Publication

Robustness of neural rankers to typos: a comparative study

Zhuang, 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

Robustness of neural rankers to typos: a comparative study

2022

Conference Publication

The task: distinguishing tasks and sessions in legal information retrieval

Wiggers, 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

The task: distinguishing tasks and sessions in legal information retrieval

2022

Conference Publication

Guiding Neural Entity Alignment with Compatibility

Liu, 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

Guiding Neural Entity Alignment with Compatibility

2022

Conference Publication

SCC - a test collection for search in chat conversations

Sabei, 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

SCC - a test collection for search in chat conversations