Nationality United States Role Software Developer | Name Andrew McCallum | |
Institutions WhizBang LabsUniversity of Massachusetts Amherst Alma mater Dartmouth CollegeUniversity of Rochester Doctoral students Wei Li, Charles Sutton, Xuerui Wang, Aron Culotta Notable awards ICML Test of Time (2011) Awards Best 10-year Paper Award of the ICML Fields Computer Science, Artificial intelligence Similar People John D Lafferty, Tom M Mitchell, David Blei, Ben Taskar, Zoubin Ghahramani | ||
Scala and machine learning with andrew mccallum
Andrew McCallum is a professor and researcher in the computer science department at University of Massachusetts Amherst. His primary specialties are in machine learning, natural language processing, information extraction, information integration, and social network analysis.
Contents
- Scala and machine learning with andrew mccallum
- SF Scala Andrew McCallum FACTORIE A Scala Library for Machine Learning NLP
- Main contributions
- References
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.
In 2009 he was elected a fellow of the Association for the Advancement of Artificial Intelligence.
He is now the president-elect of International Machine Learning Society (IMLS), which supports the International Conference on Machine Learning.
SF Scala, Andrew McCallum:: FACTORIE: A Scala Library for Machine Learning & NLP
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). In 2011 this research paper won the ICML "Test of Time" (10 year best paper) award.
McCallum has written several widely used open-source software toolkits for machine learning, natural language processing and other text processing, including Rainbow, Mallet (software project), and FACTORIE. 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.