BIP! Finder - How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact

2021 • How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact

Authors: Jin, Zhijing; Chauhan, Geeticka; Tse, Brian; Sachan, Mrinmaya; Mihalcea, Rada

Venue: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Type: Publication

Abstract: Recent years have seen many breakthroughs in natural language processing (NLP), transitioning it from a mostly theoretical field to one with many real-world applications. Noting the rising number of applications of other machine learning and AI techniques with pervasive societal impact, we anticipate the rising importance of developing NLP technologies for social good. Inspired by theories in moral philosophy and global priorities research, we aim to promote a guideline for social good in the context of NLP. We lay the foundations via the moral... (read more)

Impact:

6.2571193E-9 3.0781655E-9 4 4

/ Attention: 0 3

Topics: Artificial intelligence Natural language processing Machine learning

DOI: 10.48550/arxiv.2106.02359

External links: Crossref OpenAIRE

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