Cartography of Natural Language Processing for Social Good (NLP4SG): Searching for Definitions, Statistics and White Spots

Paula Fortuna, Laura Pérez-Mayos, Ahmed AbuRa’ed, Juan Soler-Company, Leo Wanner


Abstract
The range of works that can be considered as developing NLP for social good (NLP4SG) is enormous. While many of them target the identification of hate speech or fake news, there are others that address, e.g., text simplification to alleviate consequences of dyslexia, or coaching strategies to fight depression. However, so far, there is no clear picture of what areas are targeted by NLP4SG, who are the actors, which are the main scenarios and what are the topics that have been left aside. In order to obtain a clearer view in this respect, we first propose a working definition of NLP4SG and identify some primary aspects that are crucial for NLP4SG, including, e.g., areas, ethics, privacy and bias. Then, we draw upon a corpus of around 50,000 articles downloaded from the ACL Anthology. Based on a list of keywords retrieved from the literature and revised in view of the task, we select from this corpus articles that can be considered to be on NLP4SG according to our definition and analyze them in terms of trends along the time line, etc. The result is a map of the current NLP4SG research and insights concerning the white spots on this map.
Anthology ID:
2021.nlp4posimpact-1.3
Volume:
Proceedings of the 1st Workshop on NLP for Positive Impact
Month:
August
Year:
2021
Address:
Online
Venue:
NLP4PosImpact
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
19–26
Language:
URL:
https://aclanthology.org/2021.nlp4posimpact-1.3
DOI:
10.18653/v1/2021.nlp4posimpact-1.3
Bibkey:
Cite (ACL):
Paula Fortuna, Laura Pérez-Mayos, Ahmed AbuRa’ed, Juan Soler-Company, and Leo Wanner. 2021. Cartography of Natural Language Processing for Social Good (NLP4SG): Searching for Definitions, Statistics and White Spots. In Proceedings of the 1st Workshop on NLP for Positive Impact, pages 19–26, Online. Association for Computational Linguistics.
Cite (Informal):
Cartography of Natural Language Processing for Social Good (NLP4SG): Searching for Definitions, Statistics and White Spots (Fortuna et al., NLP4PosImpact 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.nlp4posimpact-1.3.pdf