Andrew McCallum, PhD
Affiliations: | 2002- | Computer Science | University of Massachusetts, Amherst, Amherst, MA |
Area:
Machine Learning, Natural Language ProcessingGoogle:
"Andrew McCallum"Mean distance: 15.44 (cluster 29)
Collaborators
Sign in to add collaborator| 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 |