Andrew McCallum, PhD

Affiliations: 
2002- Computer Science University of Massachusetts, Amherst, Amherst, MA 
Area:
Machine Learning, Natural Language Processing
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"Andrew McCallum"
Mean distance: 15.44 (cluster 29)
 

Children

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Emma Strubell grad student U Mass Amherst (Computer Science Tree)

Collaborators

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Roman Klinger collaborator 2010-2013 U Mass Amherst (Computer Science Tree)
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Publications

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Kim E, Jensen Z, Grootel AV, et al. (2020) Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. Journal of Chemical Information and Modeling
Chang H, Vembu S, Mohan S, et al. (2020) Using error decay prediction to overcome practical issues of deep active learning for named entity recognition Machine Learning. 1-30
Kim E, Huang K, Tomala A, et al. (2017) Machine-learned and codified synthesis parameters of oxide materials. Scientific Data. 4: 170127
Kim E, Huang K, Saunders A, et al. (2017) Materials Synthesis Insights from Scientific Literature via Text Extraction and Machine Learning Chemistry of Materials. 29: 9436-9444
Talley EM, Newman D, Mimno D, et al. (2011) Database of NIH grants using machine-learned categories and graphical clustering. Nature Methods. 8: 443-4
Sutton C, McCallum A. (2009) Piecewise training for structured prediction Machine Learning. 77: 165-194
McCallum A, Wang X, Corrada-Emmanuel A. (2007) Topic and role discovery in social networks with experiments on enron and academic email Journal of Artificial Intelligence Research. 30: 249-272
Peng F, McCallum A. (2006) Information extraction from research papers using conditional random fields Information Processing & Management. 42: 963-979
Culotta A, Kristjansson T, McCallum A, et al. (2006) Corrective feedback and persistent learning for information extraction Artificial Intelligence. 170: 1101-1122
Wei X, Croft B, Mccallum A. (2006) Table extraction for answer retrieval Information Retrieval. 9: 589-611
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