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Andrew McCallum

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2006
51 Andrew McCallum, Chris Pal, Greg Druck, Xuerui Wang: Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification. AAAI 2006
50EEWei Li, Andrew McCallum: Pachinko allocation: DAG-structured mixture models of topic correlations. ICML 2006: 577-584
49EEB. Michael Kelm, Chris Pal, Andrew McCallum: Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning. ICPR (2) 2006: 828-832
48EEGideon S. Mann, David M. Mimno, Andrew McCallum: Bibliometric impact measures leveraging topic analysis. JCDL 2006: 65-74
47EEXuerui Wang, Andrew McCallum: Topics over time: a non-Markov continuous-time model of topical trends. KDD 2006: 424-433
46EEAndrew McCallum: Information extraction, data mining and joint inference. KDD 2006: 835
45EEFuchun Peng, Andrew McCallum: Information extraction from research papers using conditional random fields. Inf. Process. Manage. 42(4): 963-979 (2006)
2005
44 Aron Culotta, Andrew McCallum: Reducing Labeling Effort for Structured Prediction Tasks. AAAI 2005: 746-751
43 Wei Li, Andrew McCallum: Semi-Supervised Sequence Modeling with Syntactic Topic Models. AAAI 2005: 813-818
42EENadia Ghamrawi, Andrew McCallum: Collective multi-label classification. CIKM 2005: 195-200
41EEAron Culotta, Andrew McCallum: Joint deduplication of multiple record types in relational data. CIKM 2005: 257-258
40EERon Bekkerman, Ran El-Yaniv, Andrew McCallum: Multi-way distributional clustering via pairwise interactions. ICML 2005: 41-48
39EEAndrew McCallum, Andrés Corrada-Emmanuel, Xuerui Wang: Topic and Role Discovery in Social Networks. IJCAI 2005: 786-791
38EEXuerui Wang, Natasha Mohanty, Andrew McCallum: Group and Topic Discovery from Relations and Their Attributes. NIPS 2005
37EERon Bekkerman, Andrew McCallum: Disambiguating Web appearances of people in a social network. WWW 2005: 463-470
36EEAndrew McCallum: Information extraction: distilling structured data from unstructured text. ACM Queue 3(9): 48-57 (2005)
2004
35 Trausti T. Kristjansson, Aron Culotta, Paul A. Viola, Andrew McCallum: Interactive Information Extraction with Constrained Conditional Random Fields. AAAI 2004: 412-418
34EEAron Culotta, Ron Bekkerman, Andrew McCallum: Extracting social networks and contact information from email and the Web. CEAS 2004
33EEFuchun Peng, Andrew McCallum: Accurate Information Extraction from Research Papers using Conditional Random Fields. HLT-NAACL 2004: 329-336
32EECharles A. Sutton, Khashayar Rohanimanesh, Andrew McCallum: Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data. ICML 2004
31EEAndrew McCallum, Ben Wellner: Conditional Models of Identity Uncertainty with Application to Noun Coreference. NIPS 2004
2003
30EEDavid Pinto, Andrew McCallum, Xing Wei, W. Bruce Croft: Table Extraction Using Conditional Random Fields. DG.O 2003
29EEAndrew McCallum, Ben Wellner: Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference. IIWeb 2003: 79-84
28EERajat Raina, Yirong Shen, Andrew Y. Ng, Andrew McCallum: Classification with Hybrid Generative/Discriminative Models. NIPS 2003
27EEDavid Pinto, Andrew McCallum, Xing Wei, W. Bruce Croft: Table extraction using conditional random fields. SIGIR 2003: 235-242
26 Andrew McCallum: Efficiently Inducing Features of Conditional Random Fields. UAI 2003: 403-410
25EEWei Li, Andrew McCallum: Rapid development of Hindi named entity recognition using conditional random fields and feature induction. ACM Trans. Asian Lang. Inf. Process. 2(3): 290-294 (2003)
24EEJames Allan, Jay Aslam, Nicholas J. Belkin, Chris Buckley, James P. Callan, W. Bruce Croft, Susan T. Dumais, Norbert Fuhr, Donna Harman, David J. Harper, Djoerd Hiemstra, Thomas Hofmann, Eduard H. Hovy, Wessel Kraaij, John D. Lafferty, Victor Lavrenko, David D. Lewis, Liz Liddy, R. Manmatha, Andrew McCallum, Jay M. Ponte, John M. Prager, Dragomir R. Radev, Philip Resnik, Stephen E. Robertson, Ronald Rosenfeld, Salim Roukos, Mark Sanderson, Rich Schwartz, Amit Singhal, Alan F. Smeaton, Howard R. Turtle, Ellen M. Voorhees, Ralph M. Weischedel, Jinxi Xu, ChengXiang Zhai: Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002. SIGIR Forum 37(1): 31-47 (2003)
2002
23 David M. Blei, J. Andrew Bagnell, Andrew McCallum: Learning with Scope, with Application to Information Extraction and Classification. UAI 2002: 53-60
2001
22 John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira: Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. ICML 2001: 282-289
21 Nicholas Roy, Andrew McCallum: Toward Optimal Active Learning through Sampling Estimation of Error Reduction. ICML 2001: 441-448
2000
20 Dayne Freitag, Andrew McCallum: Information Extraction with HMM Structures Learned by Stochastic Optimization. AAAI/IAAI 2000: 584-589
19 Huan Chang, David Cohn, Andrew McCallum: Learning to Create Customized Authority Lists. ICML 2000: 127-134
18 Andrew McCallum, Dayne Freitag, Fernando C. N. Pereira: Maximum Entropy Markov Models for Information Extraction and Segmentation. ICML 2000: 591-598
17EEAndrew McCallum, Kamal Nigam, Lyle H. Ungar: Efficient clustering of high-dimensional data sets with application to reference matching. KDD 2000: 169-178
16EEMark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery: Learning to construct knowledge bases from the World Wide Web. Artif. Intell. 118(1-2): 69-113 (2000)
15 William W. Cohen, Andrew McCallum, Dallan Quass: Learning to Understand the Web. IEEE Data Eng. Bull. 23(3): 17-24 (2000)
14 Andrew McCallum, Kamal Nigam, Jason Rennie, Kristie Seymore: Automating the Construction of Internet Portals with Machine Learning. Inf. Retr. 3(2): 127-163 (2000)
13 Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell: Text Classification from Labeled and Unlabeled Documents using EM. Machine Learning 39(2/3): 103-134 (2000)
1999
12 Jason Rennie, Andrew McCallum: Using Reinforcement Learning to Spider the Web Efficiently. ICML 1999: 335-343
11 Andrew McCallum, Kamal Nigam, Jason Rennie, Kristie Seymore: A Machine Learning Approach to Building Domain-Specific Search Engines. IJCAI 1999: 662-667
1998
10 Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery: Learning to Extract Symbolic Knowledge from the World Wide Web. AAAI/IAAI 1998: 509-516
9 Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell: Learning to Classify Text from Labeled and Unlabeled Documents. AAAI/IAAI 1998: 792-799
8 Andrew McCallum, Kamal Nigam: Employing EM and Pool-Based Active Learning for Text Classification. ICML 1998: 350-358
7 Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng: Improving Text Classification by Shrinkage in a Hierarchy of Classes. ICML 1998: 359-367
6EEL. Douglas Baker, Andrew McCallum: Distributional Clustering of Words for Text Classification. SIGIR 1998: 96-103
1995
5 Andrew McCallum: Instance-Based Utile Distinctions for Reinforcement Learning with Hidden State. ICML 1995: 387-395
1994
4EEAndrew McCallum: Instance-Based State Identification for Reinforcement Learning. NIPS 1994: 377-384
1993
3 Andrew McCallum: Overcoming Incomplete Perception with Util Distinction Memory. ICML 1993: 190-196
1992
2 Andrew McCallum: Using Transitional Proximity for Faster Reinforcement Learning. ML 1992: 316-321
1990
1 Andrew McCallum, Kent A. Spackman: Using Genetic Algorithms to Learn Disjunctive Rules from Examples. ML 1990: 149-152

Coauthor Index

1James Allan [24]
2Jay Aslam [24]
3J. Andrew Bagnell [23]
4L. Douglas Baker [6]
5Ron Bekkerman [34] [37] [40]
6Nicholas J. Belkin [24]
7David M. Blei [23]
8Chris Buckley [24]
9James P. Callan (Jamie Callan) [24]
10Huan Chang [19]
11William W. Cohen [15]
12David Cohn [19]
13Andrés Corrada-Emmanuel [39]
14Mark Craven [10] [16]
15W. Bruce Croft [24] [27] [30]
16Aron Culotta [34] [35] [41] [44]
17Dan DiPasquo [10] [16]
18Greg Druck [51]
19Susan T. Dumais [24]
20Ran El-Yaniv [40]
21Dayne Freitag [10] [16] [18] [20]
22Norbert Fuhr [24]
23Nadia Ghamrawi [42]
24Donna Harman [24]
25David J. Harper [24]
26Djoerd Hiemstra [24]
27Thomas Hofmann [24]
28Eduard H. Hovy [24]
29B. Michael Kelm [49]
30Wessel Kraaij [24]
31Trausti T. Kristjansson [35]
32John D. Lafferty [22] [24]
33Victor Lavrenko [24]
34David D. Lewis [24]
35Wei Li [25] [43] [50]
36Liz Liddy [24]
37Raghavan Manmatha (R. Manmatha) [24]
38Gideon S. Mann [48]
39David M. Mimno [48]
40Tom M. Mitchell [7] [9] [10] [13] [16]
41Natasha Mohanty [38]
42Andrew Y. Ng [7] [28]
43Kamal Nigam [8] [9] [10] [11] [13] [14] [16] [17]
44Chris Pal [49] [51]
45Fuchun Peng [33] [45]
46Fernando C. N. Pereira [18] [22]
47David Pinto [27] [30]
48Jay M. Ponte [24]
49John M. Prager [24]
50Dallan Quass [15]
51Dragomir R. Radev [24]
52Rajat Raina [28]
53Jason Rennie [11] [12] [14]
54Philip Resnik [24]
55Stephen E. Robertson [24]
56Khashayar Rohanimanesh [32]
57Ronald Rosenfeld (Roni Rosenfeld) [7] [24]
58Salim Roukos [24]
59Nicholas Roy [21]
60Mark Sanderson [24]
61Rich Schwartz [24]
62Kristie Seymore [11] [14]
63Yirong Shen [28]
64Amit Singhal [24]
65Seán Slattery [10] [16]
66Alan F. Smeaton [24]
67Kent A. Spackman [1]
68Charles A. Sutton [32]
69Sebastian Thrun [9] [13]
70Howard R. Turtle [24]
71Lyle H. Ungar [17]
72Paul A. Viola [35]
73Ellen M. Voorhees [24]
74Xuerui Wang [38] [39] [47] [51]
75Xing Wei [27] [30]
76Ralph M. Weischedel [24]
77Ben Wellner [29] [31]
78Jinxi Xu [24]
79ChengXiang Zhai (Chengxiang Zhai) [24]

Colors in the list of coauthors


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Michael Ley (ley@uni-trier.de) Fri Oct 6 12:59:39 2006