超越ACL的美好願景：誰在為社會公益從事自然語言處理，又在何處？

摘要

自然語言處理（NLP）的社會影響日益重要，社群越來越關注與「NLP促進社會公益」（NLP4SG）相關的倡議。事實上，近年來，ACL文集中近20%的論文都涉及聯合國永續發展目標所定義的社會公益主題（Adauto等，2023）。在本研究中，我們從作者和會議層面的視角來描繪NLP4SG的現狀，量化了ACL社群內外、核心ACL貢獻者與非ACL作者在處理社會公益議題上的工作比例。透過這種方法，我們發現了關於NLP4SG現狀的兩個令人驚訝的事實。首先，ACL作者在ACL以外的會議發表時，更傾向於從事與社會公益相關的研究。其次，絕大多數使用NLP技術來解決社會公益問題的出版物，都是由非ACL作者在ACL以外的會議上完成的。我們將討論這些發現對ACL社群在NLP4SG議程設定上的影響與考量。

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.

超越ACL的美好願景：誰在為社會公益從事自然語言處理，又在何處？

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

摘要

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