The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research
Mohamed Abdalla, Jan Philip Wahle, Terry Lima Ruas, Aurélie Névéol, Fanny Ducel, Saif M. Mohammad, Karën Fort
Abstract
Recent advances in deep learning methods for natural language processing (NLP) have created new business opportunities and made NLP research critical for industry development. As one of the big players in the field of NLP, together with governments and universities, it is important to track the influence of industry on research. In this study, we seek to quantify and characterize industry presence in the NLP community over time. Using a corpus with comprehensive metadata of 78,187 NLP publications and 701 resumes of NLP publication authors, we explore the industry presence in the field since the early 90s. We find that industry presence among NLP authors has been steady before a steep increase over the past five years (180% growth from 2017 to 2022). A few companies account for most of the publications and provide funding to academic researchers through grants and internships. Our study shows that the presence and impact of the industry on natural language processing research are significant and fast-growing. This work calls for increased transparency of industry influence in the field.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 16dbb567-3924-4dcc-a119-821cf8066853Cited by top-tier papers8
- Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsOrevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai et al.EMNLP 2023 · 24 citations
- Forgotten Knowledge: Examining the Citational Amnesia in NLPJanvijay Singh, Mukund Rungta, Diyi Yang, Saif M. MohammadACL 2023 · 8 citations
- To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language ProcessingSireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder et al.EMNLP 2023 · 6 citations
- We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic FieldsJan Philip Wahle, Terry Ruas, Mohamed Abdalla, Bela Gipp et al.EMNLP 2023 · 6 citations
- Building Better: Avoiding Pitfalls in Developing Language Resources when Data is ScarceNedjma Ousidhoum, Meriem Beloucif, Saif M. MohammadACL 2025 · 5 citations
Builds on4
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah et al.NeurIPS 2020 · 64,255 citations
- S2ORC: The Semantic Scholar Open Research CorpusKyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney et al.ACL 2020 · 424 citations
- Gender Gap in Natural Language Processing Research: Disparities in Authorship and CitationsSaif M. MohammadACL 2020 · 4 citations
- Examining Citations of Natural Language Processing LiteratureSaif M. MohammadACL 2020
Related papers
- Collaboration or Corporate Capture? Quantifying NLP's Reliance on Industry Artifacts and ContributionsWill Aitken, Mohamed Abdalla, Karen Rudie, Catherine StinsonACL 2024
- What Do NLP Researchers Believe? Results of the NLP Community MetasurveyJulian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller et al.ACL 2023 · 16 citations
- The Nature of NLP: Analyzing Contributions in NLP PapersAniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna GurevychACL 2025 · 9 citations
- Good Intentions Beyond ACL: Who Does NLP for Social Good, and Where?Grace LeFevre, Qingcheng Zeng, Adam Leif, Jason Jewell et al.EMNLP 2025
- The ACL OCL Corpus: Advancing Open Science in Computational LinguisticsShaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan et al.EMNLP 2023 · 9 citations
