2006 | ||
---|---|---|
51 | Andrew McCallum, Chris Pal, Greg Druck, Xuerui Wang: Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification. AAAI 2006 | |
50 | EE | Wei Li, Andrew McCallum: Pachinko allocation: DAG-structured mixture models of topic correlations. ICML 2006: 577-584 |
49 | EE | B. Michael Kelm, Chris Pal, Andrew McCallum: Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning. ICPR (2) 2006: 828-832 |
48 | EE | Gideon S. Mann, David M. Mimno, Andrew McCallum: Bibliometric impact measures leveraging topic analysis. JCDL 2006: 65-74 |
47 | EE | Xuerui Wang, Andrew McCallum: Topics over time: a non-Markov continuous-time model of topical trends. KDD 2006: 424-433 |
46 | EE | Andrew McCallum: Information extraction, data mining and joint inference. KDD 2006: 835 |
45 | EE | Fuchun 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 | |
42 | EE | Nadia Ghamrawi, Andrew McCallum: Collective multi-label classification. CIKM 2005: 195-200 |
41 | EE | Aron Culotta, Andrew McCallum: Joint deduplication of multiple record types in relational data. CIKM 2005: 257-258 |
40 | EE | Ron Bekkerman, Ran El-Yaniv, Andrew McCallum: Multi-way distributional clustering via pairwise interactions. ICML 2005: 41-48 |
39 | EE | Andrew McCallum, Andrés Corrada-Emmanuel, Xuerui Wang: Topic and Role Discovery in Social Networks. IJCAI 2005: 786-791 |
38 | EE | Xuerui Wang, Natasha Mohanty, Andrew McCallum: Group and Topic Discovery from Relations and Their Attributes. NIPS 2005 |
37 | EE | Ron Bekkerman, Andrew McCallum: Disambiguating Web appearances of people in a social network. WWW 2005: 463-470 |
36 | EE | Andrew 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 | |
34 | EE | Aron Culotta, Ron Bekkerman, Andrew McCallum: Extracting social networks and contact information from email and the Web. CEAS 2004 |
33 | EE | Fuchun Peng, Andrew McCallum: Accurate Information Extraction from Research Papers using Conditional Random Fields. HLT-NAACL 2004: 329-336 |
32 | EE | Charles A. Sutton, Khashayar Rohanimanesh, Andrew McCallum: Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data. ICML 2004 |
31 | EE | Andrew McCallum, Ben Wellner: Conditional Models of Identity Uncertainty with Application to Noun Coreference. NIPS 2004 |
2003 | ||
30 | EE | David Pinto, Andrew McCallum, Xing Wei, W. Bruce Croft: Table Extraction Using Conditional Random Fields. DG.O 2003 |
29 | EE | Andrew McCallum, Ben Wellner: Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference. IIWeb 2003: 79-84 |
28 | EE | Rajat Raina, Yirong Shen, Andrew Y. Ng, Andrew McCallum: Classification with Hybrid Generative/Discriminative Models. NIPS 2003 |
27 | EE | David 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 | |
25 | EE | Wei 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) |
24 | EE | James 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 | |
17 | EE | Andrew McCallum, Kamal Nigam, Lyle H. Ungar: Efficient clustering of high-dimensional data sets with application to reference matching. KDD 2000: 169-178 |
16 | EE | Mark 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 | |
6 | EE | L. 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 | ||
4 | EE | Andrew 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 |
Colors in the list of coauthors