ChatPaper.aiChatPaper

超越ACL的善意:谁在为社会公益从事NLP研究,又在哪里?

Good Intentions Beyond ACL: Who Does NLP for Social Good, and Where?

October 6, 2025
作者: Grace LeFevre, Qingcheng Zeng, Adam Leif, Jason Jewell, Denis Peskoff, Rob Voigt
cs.AI

摘要

自然语言处理(NLP)的社会影响日益显著,社区对“NLP助力社会公益”(NLP4SG)相关倡议的关注度持续上升。事实上,近年来,ACL文集中近20%的论文涉及联合国可持续发展目标定义的社会公益议题(Adauto等,2023)。本研究从作者和会议层面的视角出发,描绘了NLP4SG的版图,量化了在ACL社区内外、由核心ACL贡献者与非ACL作者共同完成的社会公益相关工作的比例。通过这一方法,我们揭示了关于NLP4SG版图的两个令人惊讶的事实。首先,ACL作者在ACL以外的会议发表时,显著更倾向于从事与社会公益相关的工作。其次,绝大多数运用NLP技术解决社会公益问题的出版物,是由非ACL作者在ACL以外的会议中完成的。我们探讨了这些发现对ACL社区在NLP4SG相关议程设定上的启示。
English
The social impact of Natural Language Processing (NLP) is increasingly important, with a rising community focus on initiatives related to NLP for Social Good (NLP4SG). Indeed, in recent years, almost 20% of all papers in the ACL Anthology address topics related to social good as defined by the UN Sustainable Development Goals (Adauto et al., 2023). In this study, we take an author- and venue-level perspective to map the landscape of NLP4SG, quantifying the proportion of work addressing social good concerns both within and beyond the ACL community, by both core ACL contributors and non-ACL authors. With this approach we discover two surprising facts about the landscape of NLP4SG. First, ACL authors are dramatically more likely to do work addressing social good concerns when publishing in venues outside of ACL. Second, the vast majority of publications using NLP techniques to address concerns of social good are done by non-ACL authors in venues outside of ACL. We discuss the implications of these findings on agenda-setting considerations for the ACL community related to NLP4SG.
PDF52October 7, 2025