John D. Lafferty

John D. Lafferty is a person.

• See: Conditional Random Field, Probabilistic Topic Model.

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References

• Personal Homepage: http://www.cs.cmu.edu/~lafferty/publications.html
• DBLP Author Page: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/l/Lafferty:John_D=.html

2017

• (Zhai & Lafferty, 2017) ⇒ Chengxiang Zhai, and John Lafferty. (2017). “A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval.” In: ACM SIGIR Forum Journal, 51(2). doi:10.1145/3130348.3130377

2009

• (Lafferty & Wasserman, 2009) ⇒ John D. Lafferty, and Larry Wasserman. (2009). “Statistical Machine Learning - Course: 10-702." Spring 2009, Carnegie Mellon Institute.
• (Blei & Lafferty, 2009) ⇒ David M. Blei, and John D. Lafferty. (2009). “Topic Models.” In: A. Srivastava and M. Sahami, editors, Text Mining: Classification, Clustering, and Applications . Chapman & Hall/CRC Data Mining and Knowledge Discovery Series.

2007

• (Blei & Lafferty, 2007) ⇒ David M. Blei, and John D. Lafferty. (2007). “A Correlated Topic Model of Science.” In: Annals of Applied Statistics, 1(1). doi:10.1214/07-AOAS114

2006

• (Blei & Lafferty, 2006) ⇒ David M. Blei, and John D. Lafferty. (2006). “Dynamic Topic Models.” In: Proceedings of the 23rd International Conference on Machine Learning (ICML 2006). doi:10.1145/1143844.1143859

2004

• (Blum et al., 2004) ⇒ Avrim Blum, John D. Lafferty, Mugizi Robert Rwebangira, and Rajashekar Reddy. (2004). “Semi-Supervised Learning Using Randomized Mincuts.” In: Proceedings of ICML-2004. doi:10.1145/1015330.1015429
• (Zhai & Lafferty, 2004) ⇒ Chengxiang Zhai, and John Lafferty. (2004). “A Study of Smoothing Methods for Language Models Applied to Information Retrieval.” In: ACM Transactions on Information Systems (TOIS) Journal, 22(2). doi:10.1145/984321.984322

2003

• (Croft & Lafferty, 2003) ⇒ W. Bruce Croft, and John D. Lafferty, editors. (2003). “Language Modeling for Information Retrieval." Kluwer Academic.
• (Zhu, Ghahramani & Lafferty, 2003) ⇒ Xiaojin Zhu, Zoubin Ghahramani, and John D. Lafferty. (2003). “Semi-supervised learning using Gaussian fields and harmonic functions.” In: Proceedings of the 20th International Conference on Machine Learning (ICML 2003).

2001

• (Lafferty et al., 2001) ⇒ John D. Lafferty, Andrew McCallum, and Fernando Pereira. (2001). “Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data.” In: Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001).
• (Lafferty & Zhai, 2001) ⇒ John D. Lafferty, and C. Zhai. (2001). “A study of smoothing methods for language models applied to ad hoc information retrieval.” In: Proceedings of the 2001 ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).

1999

• (Beeferman et al., 1999) ⇒ Doug Beeferman, Adam Berger, and John D. Lafferty. (1999). “Statistical Models for Text Segmentation.” In: Machine Learning, 34(1–3).
• (Berger & Lafferty, 1999) ⇒ Adam Berger and John D. Lafferty. (1999). “Information Retrieval as Statistical Translation.” In: Proceedings of the 22nd Conference on Research and Development in Information Retrieval (SIGIR 1999).
  • See: Noisy-Channel Model.
• (Nigam et al., 1999) ⇒ Kamal Nigam, John Lafferty, and Andrew McCallum. (1999). “Using Maximum Entropy for Text Classification.” In: IJCAI-99 workshop on machine learning for information filtering.

1997

• Stephen Della Pietra, Vincent Della Pietra, and John D. Lafferty. (1997). “Inducing Features of Random Fields.” In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(4).

1995

• (Grinberg et al., 1995) ⇒ Dennis Grinberg, John D. Lafferty and Daniel Dominic Sleator. (1995). “A Robust Parsing Algorithm for Link Grammars.” In: Proceedings of the Fourth International Workshop on Parsing Technologies.

1994

• (Jelinek et al., 1994) ⇒ Fredrick Jelinek, John D. Lafferty, D. Magerman, Robert L. Mercer, Adwait Ratnaparkhi, and Salim Roukos. (1994). “Decision Tree Parsing Using a Hidden Derivation Model.” In: Proceedings of the Workshop on Human Language Technology. doi:10.3115/1075812.1075873

1992

• (Lafferty et al., 1992) ⇒ John D. Lafferty, D. Sleator, and D. Temperley. (1992). “Grammatical Trigrams: A probabilistic model of link grammar.” In: Proceedings of AAAI Fall Symposium on Probabilistic Approaches to Natural Language.

1990

• (Brown et al., 1990) ⇒ Peter F. Brown, John Cocke, Stephen A. Della Pietra, Vincent J. Della Pietra, Fredrick Jelinek, John D. Lafferty, Robert L. Mercer, and Paul S. Roossin. (1990). “A Statistical Approach to Machine Translation.” In: Computational Linguistics, 16(2).

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