Charles Sutton
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Charles Sutton is a person.
References
2022
- (Chowdhery et al., 2022) ⇒ Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, [author::[Noam Shazeer]], Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, and Noah Fiedel . (2022). “PaLM: Scaling Language Modeling with Pathways.” In: arXiv preprint arXiv:2204.02311.
2008
- (Hall et al., 2008) ⇒ Rob Hall, Charles Sutton, and Andrew McCallum. (2008). “Unsupervised Deduplication Using Cross-field Dependencies.” In: Proceedings of the Fourteenth SIGKDD Conference (KDD-2008). doi:10.1145/1401890.1401931
2007
- (Sutton & McCallum, 2007) ⇒ Charles Sutton, and Andrew McCallum. (2007). “An Introduction to Conditional Random Fields for Relational Learning.” In: (Getoor & Taskar, 2007).
- (Sutton et al., 2007) ⇒ Charles Sutton, Andrew McCallum, and Khashayar Rohanimanesh. (2007). “Dynamic Conditional Random Fields: Factorized probabilistic models for labeling and segmenting sequence data.” In: Journal of Machine Learning Research, 8.
- Journal version of (Sutton et al., 2004) at ICML 2004.
- (Hall et al., 2007) ⇒ Rob Hall, Charles Sutton, and Andrew McCallum. (2007). “Unsupervised coreference of publication venues.” University of Massachusetts, Amherst, Amherst, MA, Tech. Rep., 2007.
2006
- (JINLP, 2006) Proposed workshop http://www.cs.umass.edu/~casutton/jinlp2006/
2005
- (Sutton & McCallum, 2005b) ⇒ Charles Sutton, and Andrew McCallum. (2005). ."Piecewise Training of Undirected Models.” In: 21st Conference on Uncertainty in Artificial Intelligence, (UAI 2005).
- (Sutton & McCallum, 2005a) ⇒ Charles Sutton, and Andrew McCallum. (2005). ."Joint Parsing and Semantic Role Labeling.” In: Proceedings of the Ninth Conference on Computational Natural Language Learning (CONLL 2005).
2004
- (Sutton et al., 2004) ⇒ Charles Sutton, Khashayar Rohanimanesh, and Andrew McCallum. (2004). “Dynamic Conditional Random Fields: Factorized probabilistic models for labeling and segmenting sequence data.” In: Proceedings of the twenty-first International Conference on Machine learning (ICML 2004). doi:10.1145/1015330.1015422
- (Sutton, 2004) ⇒ Charles Sutton. (2004). “Conditional Probabilistic Context-Free Grammars.” Master’s thesis, University of Massachusetts, (2004).
- (McCallum & Sutton, 2004) ⇒ Andrew McCallum, and Charles Sutton. (2004). “Piecewise Training with Parameter Independence Diagrams: Comparing Globally- and Locally-trained Linear-chain CRFs.” In: NIPS 2004 Workshop on Learning with Structured Outputs.