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# Christiane Fellbaum

Title/Position
Lecturer with rank of Professor
Degree
Ph.D., Princeton University, 1980
fellbaum (@cs.princeton.edu) (609) 258-2824 1-S-14 Green Hall
Homepage
https://www.cs.princeton.edu/~fellbaum

## Research

Interests: Natural Language Processing, Lexical semantics, the syntax-semantics interface, syntactic alternations, computational linguistics, large-scale lexical resources, idioms, ontology
Humboldt Foundation Wolfgang Paul Award, 2001; LREC Antonio Zampolli Prize, 2006

## Short Bio

Christiane Fellbaum is a senior research scholar in the Computer Science Department. A native of Brunswick, Germany, she received her Ph.D. in linguistics from Princeton in 1980 and completed a postdoctoral fellowship at the University of Paris. After several teaching and research positions, she returned to Princeton to work as a research scientist in 1987. She is the co-developer and current director of the WordNet project, and the co-founder and co-president of the Global WordNet Association. Her honors include the Wolfgang Paul-Prize of the German Humboldt Foundation (2001) and the Antonio Zampolli Prize (2006). Her research Interests include theoretical linguistics, computational and corpus linguistics, and natural language processing.

## Selected Publications

- “WordNet: An Electronic Lexical Database.” Fellbaum, C. (Ed., 1998). Cambridge, MA: MIT Press.
- “Towards a new information resource for public health: From WordNet to Medical WordNet.” Fellbaum, C., Hahn, U., and Smith, B. (2006). Journal of Biomedical Informatics 39:321-332.
- “Augmenting WordNet for Deep Understanding of Text.” Clark, P., Fellbaum, C., Hobbs, J., Harrison, P., Murray, W. and J. Thompson. (2008). ACL-SigSem, Venice, Italy.
- “Large, huge or gigantic: Identifying and encoding intensity relations among adjectives in WordNet.” Sheinman, V., Fellbaum, C., Julien, I., Schulam, P. and Tokunaga, T. (2013). Lexical Resources and Evaluation 47:797-816.
- ”Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions.” Barbu, A., Barrett, D., Chen, W., Siddharth, N., Xiong, C., Corso, J., Fellbaum, C., Hanson, C., Hanson, S., Helie, S., Malaia, E.,Pearlmutter, B., Siskind, J., Talavage, T. and Wilbur, R. (2014). Proceedings of the European Conference on Computer Vision.

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