This volume includes the five selected papers and four keynote presentations from NSG 2024, held in a hybrid format from April 25 to 26, 2024. The in-person event took place at the University of Liverpool, Liverpool, United Kingdom. Artificial intelligence (AI), specifically, Natural Language Processing (NLP) is being hailed as a new breeding ground for immense innovation potential. While scholars believe that NLP has enormous potential for excessive growth, one question remains: how can it be used for the better welfare of the society? Researchers believe that NLP-based technologies could help to solve societal issues such as equality and inclusion, education, health, and hunger, and climate action etc. and many more. The field is focused on delivering positive social impact in accordance with the priorities outlined in the United Nations' 17 Sustainable Development Goals (SDGs). Tackling these questions requires a concerted, collaborative efort across all sectors of society. The Symposium on NLP for Social Good is a novel efort that aims to enable NLP researchers and scholars from interdisciplinary field who want to think about the societal implications of their work for solving humanitarian and environmental challenges. The symposium aims to support fundamental research and engineering eforts and empower the social sector with tools and resources, while collaborating with partners from all sectors to maximise efect in solving problems within public health, nature & society, climate & energy, accessibility, crisis response etc. Procheta Sen Tulika Saha Danushka Bollegala
NSG 2024
Acknowledgements The organizers would like to express their gratitude to the Impact Accelerator Fund scheme at the University of Liverpool for providing the financial support to organize the symposium. The organizers would also like to thank Easychair for providing a free tool to manage the proceedings of the symposium.
Organizers 2nd Symposium on NLP for Social Good 2024, April 25–26, 2024, Liverpool, UK
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CPWrEooUrckResehdoinpgs IhStpN:/c1e6u1r3-w-0s.o7r3g CEUR Workshop Proceedings (CEUR-WS.org) Yi Zhou Michael Abaho Tianhui Zhang Danushka Bollegala Tulika Saha Procheta Sen