Useful Information about the ALTA 2025 Shared Task

This page contains some links that participants may find useful when attempting the task. More information may be added later on.

• Karimi, Metke-Jimenez, Kemp, and Wang, "CADEC: A corpus of adverse drug event annotations", JBI, vol. 55, pp. 73-81, 2015, DOI 10.1016/j.jbi.2015.03.010.
• Dai, Karimi, Sarker, Hachey, and Paris, "MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction", JBI, vol. 160, p. 104744, 2024, DOI 10.1016/j.jbi.2024.104744.
• Luo, Sun, and Rumshisky, "MCN: A comprehensive corpus for medical concept normalization", JBI, vol. 92, p. 103132, 2019, DOI 10.1016/j.jbi.2019.103132.
• Zhang, Cheng, Vashishth, Wong, Xiao et al., "Knowledge-Rich Self-Supervision for Biomedical Entity Linking", in Findings of EMNLP, 2022, DOI 10.18653/v1/2022.findings-emnlp.61.
• Xiao, Gong, Wu, Zhang, Shou et al., "Instructed Language Models with Retrievers Are Powerful Entity Linkers", in EMNLP, 2023, DOI 10.18653/v1/2023.emnlp-main.139.