=Paper= {{Paper |id=Vol-3764/preface |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-3764/preface.pdf |volume=Vol-3764 }} ==None== https://ceur-ws.org/Vol-3764/preface.pdf
                                Preface
                                Procheta Sen1 , Tulika Saha1 and Danushka Bollegala1
                                1
                                    Department of Computer Science, University of Liverpool, United Kingdom



                                  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.


                                NSG 2024
                                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 effort across all sectors of society.
                                The Symposium on NLP for Social Good is a novel effort 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 efforts and empower the social sector with tools
                                and resources, while collaborating with partners from all sectors to maximise effect in solving
                                problems within public health, nature & society, climate & energy, accessibility, crisis response
                                etc.


                                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
                                Procheta Sen
                                Tulika Saha
                                Danushka Bollegala
                                2nd Symposium on NLP for Social Good 2024, April 25–26, 2024, Liverpool, UK
                                                                       © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
                                    CEUR
                                    Workshop
                                    Proceedings
                                                  http://ceur-ws.org
                                                  ISSN 1613-0073
                                                                       CEUR Workshop Proceedings (CEUR-WS.org)




CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings
Program Committee Members
Yi Zhou
Michael Abaho
Tianhui Zhang
Danushka Bollegala
Tulika Saha
Procheta Sen