| Download | - View final version: The elephant in the room: analyzing the presence of big tech in natural language processing research (PDF, 1.5 MiB)
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| DOI | Resolve DOI: https://doi.org/10.18653/v1/2023.acl-long.734 |
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| Author | Search for: Abdalla, Mohamed; Search for: Wahle, Jan Philip1; Search for: Lima Ruas, Terry; Search for: Névéol, Aurélie; Search for: Ducel, Fanny; Search for: Mohammad, Saif1; Search for: Fort, Karen |
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| Affiliation | - National Research Council of Canada. Digital Technologies
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| Format | Text, Article |
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| Conference | The 61st Annual Meeting of the Association for Computational Linguistics (ACL’23), July 9-14, 2023, Toronto, Ontario, Canada |
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| 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. |
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| Publication date | 2023-07-09 |
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| Publisher | Association for Computational Linguistics |
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| Licence | |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 35596278-f679-4469-a45a-6e5f14c72b02 |
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| Record created | 2023-07-19 |
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| Record modified | 2023-11-02 |
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