Dan Jurafsky

Stanford University

Papers

2

Total Citations

2,187

H-Index

2

About

Dan Jurafsky is a leading figure in computational linguistics and natural language processing, whose work bridges the gap between human language and artificial intelligence. His research spans discourse processing, pragmatics, and the social dynamics of language, with a particular focus on how meaning is constructed through conversation and context. Jurafsky is perhaps best known for his foundational contributions to the field, including his widely used textbook *Speech and Language Processing*, which has educated generations of researchers. His landmark paper "On the Opportunities and Risks of Foundation Models" (2021), with over 2,100 citations, helped define the paradigm shift toward large-scale models like BERT and GPT-3, critically examining their potential and pitfalls. Beyond technical contributions, Jurafsky has explored the intersection of language and society, analyzing everything from restaurant reviews to political speech to uncover hidden patterns of power and persuasion. His work on computational pragmatics and dialogue systems has been instrumental in advancing how machines understand human intent. A recipient of numerous awards, including a MacArthur Fellowship, Jurafsky’s research continues to shape both the theory and practice of language technology, making him an essential voice in the AI community.

Research Focus

Key Achievements

2
H-Index
2
Papers
2,187
Total Citations
1,094
Avg Citations/Paper
🏆 Most Cited Paper
On the Opportunities and Risks of Foundation Models
2,177 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 100
🏛 Institutions: Stanford University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago