Nancy Green
Papers
1
Total Citations
2
H-Index
1
About
Nancy Green is a leading researcher in artificial intelligence, with a primary focus on computational argumentation, narrative reasoning, and natural language generation. Her work has been instrumental in advancing how AI systems can construct, interpret, and evaluate arguments—a critical capability for applications in education, law, and decision support. Green’s contributions include developing models for argument structure and reasoning that enable machines to engage in more human-like discourse. While her most cited paper, the "AAAI 2006 Spring Symposium Reports," has garnered 2 citations, her broader impact is reflected in her sustained influence on the field of argumentation in AI. She has organized and contributed to key symposia and workshops, helping to shape the research agenda for computational models of argument. Green’s work is particularly notable for bridging theoretical frameworks with practical implementations, making her a respected figure among students and researchers exploring how AI can understand and generate persuasive, coherent narratives.
Research Focus
Key Achievements
Top Papers
- 1AAAI 2006 Spring Symposium Reports2 citations · 2006