Andrew McCallum
Andrew McCallum | |
---|---|
Nationality | United States |
Alma mater | Dartmouth College University of Rochester[2] |
Known for | Conditional random field |
Awards | ICML Test of Time (2011) |
Scientific career | |
Fields | Computer Science, Artificial Intelligence |
Institutions | WhizBang Labs University of Massachusetts Amherst |
Doctoral advisor | Dana H. Ballard[1] |
Doctoral students | Wei Li, Charles Sutton, Xuerui Wang, Aron Culotta, David Mimno, Sameer Singh |
Andrew McCallum is a professor and researcher in the computer science department at University of Massachusetts Amherst.[3] His primary specialties are in machine learning, natural language processing, information extraction, information integration, and social network analysis.[4]
McCallum graduated summa cum laude from Dartmouth College in 1989. He completed his Ph.D. at University of Rochester in 1995 under the supervision of Dana H. Ballard. He was then a postdoctoral fellow, working with Sebastian Thrun and Tom M. Mitchell at Carnegie Mellon University. From 1998 to 2000 he was a Research Scientist and Research Coordinator at Justsystem Pittsburgh Research Center. From 2000 to 2002 was Vice President of Research and Development at WhizBang Labs, and Director of its Pittsburgh office.[2]
In 2009 he was elected a fellow of the Association for the Advancement of Artificial Intelligence.[5]
He is now the president-elect of International Machine Learning Society (IMLS),[6] which supports the International Conference on Machine Learning.
Main contributions
In collaboration with John Lafferty and Fernando Pereira, McCallum developed conditional random fields, first described in a paper presented at the International Conference on Machine Learning (ICML).[7] In 2011 this research paper won the ICML "Test of Time" (10 year best paper) award.[8]
McCallum has written several widely used[9] open-source software toolkits for machine learning, natural language processing and other text processing, including Rainbow,[10] Mallet (software project), and FACTORIE.[11] In addition, he was instrumental in publishing the Enron Corpus, a large collection of emails that has been used as a basis for a number of academic studies of social networking and language.
References
- ^ "The Mathematics Genealogy Project - Andrew McCallum". Archived from the original on 6 May 2010. Retrieved 2010-05-31.
{{cite web}}
: Unknown parameter|deadurl=
ignored (|url-status=
suggested) (help) - ^ a b "Bio for Andrew McCallum". Archived from the original on 4 June 2010. Retrieved 2010-05-31.
{{cite web}}
: Unknown parameter|deadurl=
ignored (|url-status=
suggested) (help) - ^ "http://www.cs.umass.edu/faculty/faculty-directory". Archived from the original on 4 June 2010. Retrieved 2010-05-31.
{{cite web}}
: External link in
(help); Unknown parameter|title=
|deadurl=
ignored (|url-status=
suggested) (help) - ^ "Elected AAAI Fellows". Retrieved 2010-05-31.
- ^ http://www.aaai.org/Awards/fellows.php
- ^ "IMLS Board". machinelearning.org. Retrieved 19 March 2015.
President-Elect Andrew McCallum
- ^ Lafferty, J.; McCallum, A.; Pereira, F.C.N. (2001). "Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data". International Conference on Machine Learning. pp. 79–87.
{{cite conference}}
: Unknown parameter|booktitle=
ignored (|book-title=
suggested) (help) - ^ "Test-of-Time Award ICML'11". ICML. 2011. Retrieved 15 December 2014.
John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data.
- ^ "Google Scholar search for +mccallum +rainbow +software". Retrieved 2010-05-31.
- ^ "Rainbow". Archived from the original on 26 May 2010. Retrieved 2010-05-31.
{{cite web}}
: Unknown parameter|deadurl=
ignored (|url-status=
suggested) (help) - ^ "FACTORIE". Retrieved 2014-05-20.
External links
- Fellows of the Association for the Advancement of Artificial Intelligence
- University of Massachusetts Amherst faculty
- Machine learning researchers
- Artificial intelligence researchers
- American computer scientists
- Dartmouth College alumni
- University of Rochester alumni
- Living people
- American computer specialist stubs
- Computer scientist stubs