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
摘要
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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引用它的顶会 Paper8
- Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsOrevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai 等EMNLP 2023 · 被引用 24 次
- Forgotten Knowledge: Examining the Citational Amnesia in NLPJanvijay Singh, Mukund Rungta, Diyi Yang, Saif M. MohammadACL 2023 · 被引用 8 次
- To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language ProcessingSireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder 等EMNLP 2023 · 被引用 6 次
- We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic FieldsJan Philip Wahle, Terry Ruas, Mohamed Abdalla, Bela Gipp 等EMNLP 2023 · 被引用 6 次
- Building Better: Avoiding Pitfalls in Developing Language Resources when Data is ScarceNedjma Ousidhoum, Meriem Beloucif, Saif M. MohammadACL 2025 · 被引用 5 次
它引用的顶会 Paper4
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah 等NeurIPS 2020 · 被引用 64,255 次
- S2ORC: The Semantic Scholar Open Research CorpusKyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney 等ACL 2020 · 被引用 424 次
- Gender Gap in Natural Language Processing Research: Disparities in Authorship and CitationsSaif M. MohammadACL 2020 · 被引用 4 次
- Examining Citations of Natural Language Processing LiteratureSaif M. MohammadACL 2020
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