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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 Journal Article On the role of human and machine metadata in relevance judgment tasksXu, Jiechen, Han, Lei, Sadiq, Shazia and Demartini, Gianluca (2023). On the role of human and machine metadata in relevance judgment tasks. Information Processing and Management, 60 (2) 103177, 1-14. doi: 10.1016/j.ipm.2022.103177 |
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2023 Other Outputs MELArt: Multimodal Entity Linking Evaluation Dataset for Art (Version 1.0)Demartini, Gianluca, Le, Linh, Krestel, Ralf and Sierra, Alejandro (2023). MELArt: Multimodal Entity Linking Evaluation Dataset for Art (Version 1.0). The University of Queensland. (Dataset) doi: 10.48610/2a8ef30 |
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2023 Other Outputs UQ Single Column Format Inconsistency DatasetsDemartini, Gianluca, Chen, Tianwa, Sadiq, Shazia, Fan, Shaoyang, Xu, Jiechen, Han, Lei and Yu, Shaochen (2023). UQ Single Column Format Inconsistency Datasets. The University of Queensland. (Dataset) doi: 10.48610/0ab54e7 |
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2022 Journal Article Combining human and machine confidence in truthfulness assessmentQu, Yunke, Barbera, David La, Roitero, Kevin, Mizzaro, Stefano, Spina, Damiano and Demartini, Gianluca (2022). Combining human and machine confidence in truthfulness assessment. Journal of Data and Information Quality, 15 (1) 5, 1-17. doi: 10.1145/3546916 |
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2022 Journal Article Task design in complex crowdsourcing experiments: Item assignment optimizationCeschia, Sara, Roitero, Kevin, Demartini, Gianluca, Mizzaro, Stefano, Di Gaspero, Luca and Schaerf, Andrea (2022). Task design in complex crowdsourcing experiments: Item assignment optimization. Computers and Operations Research, 148 105995, 1-13. doi: 10.1016/j.cor.2022.105995 |
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2022 Journal Article Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022Demartini, Gianluca, Yang, Jie and Sadiq, Shazia (2022). Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022. ACM SIGIR Forum, 56 (2), 1-8. doi: 10.1145/3582900.3582921 |
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2022 Conference Publication Automatic identification of 5C vaccine behaviour on social mediaSampath Kumar, Ajay Hemanth, Shausan, Aminath, Demartini, Gianluca and Rahimi, Afshin (2022). Automatic identification of 5C vaccine behaviour on social media. Eighth Workshop on Noisy User-generated Text (W-NUT 2022), Gyeongju, Republic of Korea, 12-17 October 2022. Gyeongju, Republic of Korea: International Conference on Computational Linguistics. |
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2022 Conference Publication Crowdsourced fact-checking at Twitter : how does the crowd compare with experts?Saeed, Mohammed, Traub, Nicolas, Nicolas, Maelle, Demartini, Gianluca and Papotti, Paolo (2022). Crowdsourced fact-checking at Twitter : how does the crowd compare with experts?. 31st ACM International Conference on Information & Knowledge, Atlanta, GA USA, 17-21 October 2022. New York, NY, USA: ACM. doi: 10.1145/3511808.3557279 |
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2022 Conference Publication Workshop on human-in-the-loop data curationDemartini, Gianluca, Yang, Jie and Sadiq, Shazia (2022). Workshop on human-in-the-loop data curation. 31st ACM International Conference on Information and Knowledge Management, Atlanta, GA, United States, 17-21 October 2022. New York, NY, United States: ACM. doi: 10.1145/3511808.3557498 |
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2022 Conference Publication How does the crowd impact the model? A tool for raising awareness of social bias in crowdsourced training dataPerikleous, Periklis, Kafkalias, Andreas, Theodosiou, Zenonas, Barlas, Pinar, Christoforou, Evgenia, Otterbacher, Jahna, Demartini, Gianluca and Lanitis, Andreas (2022). How does the crowd impact the model? A tool for raising awareness of social bias in crowdsourced training data. 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, United States, 17-22 October 2022. New York, NY, United States: ACM. doi: 10.1145/3511808.3557178 |
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2022 Journal Article Analytics of learning tactics and strategies in an online learnersourcing environmentLahza, Hatim, Khosravi, Hassan and Demartini, Gianluca (2022). Analytics of learning tactics and strategies in an online learnersourcing environment. Journal of Computer Assisted Learning, 39 (1), 94-112. doi: 10.1111/jcal.12729 |
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2022 Conference Publication Incorporating AI and Analytics to Derive Insights from E-exam LogsLahza, Hatim Fareed, Khosravi, Hassan and Demartini, Gianluca (2022). Incorporating AI and Analytics to Derive Insights from E-exam Logs. 23rd International Conference of Artificial Intelligence in Education AIED 2022, Durham, United Kingdom, 27–31 July 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-11644-5_78 |
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2022 Journal Article A neural model to jointly predict and explain truthfulness of statementsBrand, Erik, Roitero, Kevin, Soprano, Michael, Rahimi, Afshin and Demartini, Gianluca (2022). A neural model to jointly predict and explain truthfulness of statements. Journal of Data and Information Quality, 15 (1) 4, 1-19. doi: 10.1145/3546917 |
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2022 Conference Publication Socio-economic diversity in human annotationsFan, Shaoyang, Barlas, Pinar, Christoforou, Evgenia, Otterbacher, Jahna, Sadiq, Shazia and Demartini, Gianluca (2022). Socio-economic diversity in human annotations. WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, 26-29 June 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3501247.3531588 |
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2022 Conference Publication Exploring data literacy levels in the crowd – the case of COVID-19Fan, Shaoyang, Han, Lei, Demartini, Gianluca and Sadiq, Shazia (2022). Exploring data literacy levels in the crowd – the case of COVID-19. The 16th International AAAI Conference on Web and Social Media, Atlanta, GA United States, 6-9 June 2022. Palo Alto, CA United States: AAAI Press. |
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2022 Conference Publication Exploring data literacy levels in the crowd – the case of COVID-19Fan, Shaoyang, Han, Lei, Demartini, Gianluca and Sadiq, Shazia (2022). Exploring data literacy levels in the crowd – the case of COVID-19. Sixteenth International AAAI Conference on Web and Social Media, Atlanta, GA United States, 6–9 June 2022. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v16i1.19395 |
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2022 Conference Publication Understanding reactions to swine flu, Ebola, and the Zika virus using Twitter data: an outlook for future infectious disease outbreaksAhmed, Wasim, Bath, Peter A., Sbaffi, Laura and Demartini, Gianluca (2022). Understanding reactions to swine flu, Ebola, and the Zika virus using Twitter data: an outlook for future infectious disease outbreaks. 18th International Symposium on Health Information Management Research, Kalmar, Sweden, 17-18 October 2020. Växjö, Sweden: Linnaeus University Press. doi: 10.15626/ishimr.2020.04 |
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2022 Book Chapter Artificial intelligence needs human intervention to combat online hateDemartini, Gianluca and Wilson-Barnao, Caroline (2022). Artificial intelligence needs human intervention to combat online hate. Conflict in My Outlook. (pp. 1-30) edited by Anna Briers, Nicholas Carah and Holly Arden. Melbourne, VIC Australia: Perimiter. |
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2022 Conference Publication Does evidence from peers help crowd workers in assessing truthfulness?Xu, Jiechen, Han, Lei, Fan, Shaoyang, Sadiq, Shazia and Demartini, Gianluca (2022). Does evidence from peers help crowd workers in assessing truthfulness?. WWW '22: The ACM Web Conference 2022, Online, 25 - 29 April, 2022. New York, NY, United States: ACM. doi: 10.1145/3487553.3524236 |
