Mark Craven
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Mark Craven is a person.
References
- Professional Homepage: http://www.biostat.wisc.edu/~craven/
- DBLP Author Page: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/c/Craven:Mark.html
2009
- (Andrzejewski et al., 2009) ⇒ David Andrzejewski, Xiaojin Zhu, and Mark Craven. (2009). “Incorporating Domain Knowledge Into Topic Modeling via Dirichlet Forest Priors.” In: Proceedings of the 26th Annual International Conference on Machine Learning. doi:10.1145/1553374.1553378
2008
- (Settles & Craven, 2008) ⇒ Burr Settles, and Mark Craven. (2008). “An Analysis of Active Learning Strategies for Sequence Labeling Tasks.” In: Proceedings of the Conference on Empirical Methods in Natural Language Processing.
2003
- (Skounakis et al., 2003) ⇒ Marios Skounakis, Mark Craven, and Soumya Ray. (2003). “Hierarchical Hidden Markov Models for Information Extraction.” In: Proceedings of IJCAI Conference (IJCAI 2003).
- (Skounakis & Craven, 2003) ⇒ Marios Skounakis, and Mark Craven. (2003). “Evidence Combination in Biomedical Natural-Language Processing.” In: Proceedings of the 3nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2003).
2002
- (Bockhorst et al., 2002) ⇒ Joseph Bockhorst, and Mark Craven. (2002). “Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data.” In: Proceedings of the Nineteenth International Conference on Machine Learning (ICML 2002).
2001
- (Ray & Craven, 2001) ⇒ Soumya Ray, and Mark Craven. (2001). “Representing Sentence Structure in Hidden Markov Models for Information Extraction.” In: Proceedings of IJCAI Conference (IJCAI 2001).
1999
- (Craven & Kumlien, 1999) ⇒ Mark Craven, and Johan Kumlien. (1999). “Constructing Biological Knowledge-bases by Extracting Information from Text Sources.” In: Proceedings of the International Conference on Intelligent Systems for Molecular Biology.
1998
- (Craven et al., 1998) ⇒ Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom Mitchell, Kamal Nigam, and Sean Slattery (1998). “Learning to Extract Symbolic Knowledge from the World Wide Web.” In: Proceedings of the 15th National Conference on Artificial Intelligence (AAAI 1998).
1997
- (Craven et al., 1997) ⇒ Mark Craven, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, and C.Y. Quek. (1997). “Learning to Extract Symbolic Knowledge from the World Wide Web.” Technical report, Carnegie Mellon University.