Real Name: Trond Erling Grenager (TEG is my initials)
Office: Gates Building, Room 232
Email: [lastname] at [university] dot edu
I am a fifth-year Ph.D. student in the Stanford University Department of Computer
Science. I'm currently on leave from Stanford founding a new video advertising company, AdapTV.
In my academic life I study statistical natural language processing and
machine learning with Professor Chris
Manning. Recently, my research interests have focused on learning
models of linguistic structure using unsupervised and semi-supervised
machine learning techniques. I am motivated by the idea that all the
text and information on the web ought to be able to help us build
better models of language. Don't ask me why, but I like the idea of
robots that learn about the world by reading and talking to us!
- Trond Grenager and Christopher D. Manning (2006) Unsupervised discovery of a statistical verb lexicon. EMNLP 2006 [PS] [PDF]
- Bill MacCartney, Trond Grenager, Marie-Catherine de Marneffe, Daniel Cer, Christopher D. Manning (2006) Learning to recognize features of valid textual entailments. NAACL 2006 [PDF]
- Trond Grenager, Dan Klein, and Christopher D. Manning (2005) Unsupervised learning of field segmentation models for information extraction. ACL 2005. [PS] [PDF]
- Jenny Finkel, Trond Grenager, and Christopher D. Manning (2005) Incorporating non-local information into information extraction systems by Gibbs sampling. ACL 2005. [PS] [PDF]
- Galen Andrew, Trond Grenager, and Christopher D. Manning (2004) Verb sense and subcategorization: using joint inference to improve performance on complementary tasks. EMNLP 2004. [PS] [PDF]
- Yoav Shoham, Robert Powers, and Trond Grenager (2004) On the Agenda(s) of Research on Multi-Agent Learning. 2004 AAAI Fall Symposium on Artificial Multi-Agent Learning. [PS] [PDF]
- Trond Grenager, Robert Powers, and Yoav Shoham (2002) Dispersion games: general definitions and some specific learning results. AAAI 2002. [PS] [PDF]
- K. Saito, P. Langley, T. Grenager, C. Potter, A. Torregrosa, and S.A. Klooster (2001) Computational revision of quantitative scientific models. Conf. on Discovery Science 2001. [PS] [PDF]
- Tutorial on Partially Observable Markov Decision Processes (POMDPs) [PPT]
- Tutorial on Probabilistic Relational Models (PRMs) [PPT]
- Tutorial on Markov Chain Monte Carlo methods [PPT]
- Tutorial on the Dirichlet Process for Mixture Modeling [PPT]
- Class on clustering methods in NLP that I taught as part of CS294-5 at Berkeley. [PDF] [PPT]
- The unsupervised field segmentation data lives here.
- When time permits, I apply machine learning and natural language processing techniques to commercial problems in the form of software and consulting projects through my firm:
Talking Dolphin, LLC.
- My wedding in 2002 to the wonderful Heather Hughes.
- The family that resulted (including lots of photos!)