A continuous-time model of topic co-occurrence trends W Li, X Wang, A McCallum Defense Technical Information Center, 2006 | 7 | 2006 |
Toward interactive training and evaluation G Druck, A McCallum Proceedings of the 20th ACM international conference on Information and ..., 2011 | 6 | 2011 |
Rethinking lda: why priors matter A Mccallum, DM Mimno, HM Wallach Advances in neural information processing systems, 1973-1981, 2009 | 6 | 2009 |
FACTORIE: Efficient probabilistic programming for relational factor graphs via imperative declarations of structure, inference and learning A McCallum, K Rohanimanesh, M Wick, K Schultz, S Singh | 6 | 2008 |
Generalized component analysis for text with heterogeneous attributes X Wang, C Pal, A McCallum Proceedings of the 13th ACM SIGKDD international conference on Knowledge ..., 2007 | 6 | 2007 |
Sparse message passing algorithms for weighted maximum satisfiability A Culotta, A McCallum, B Selman, A Sabharwal New England Student Symposium on Artificial Intelligence, 2007 | 6 | 2007 |
Cryptogram decoding for optical character recognition G Huang, EG Learned-Miller, A McCallum University of Massachusetts-Amherst Technical Report 6 (45), 2006 | 6 | 2006 |
Fast, piecewise training for discriminative finite-state and parsing models C Sutton, A McCallum | 6 | 2005 |
On the role of time in brain computation DH Ballard, G Salgian, R Rao, A McCallum Vision and Action Eds LR Harris, M Jenkin (Cambridge: Cambridge University ..., 1998 | 6 | 1998 |
Pool-based active learning for text classification K Nigam, A McCallum Conference on Automated Learning and Discovery (CONALD), 1998 | 6 | 1998 |
Utile suffix memory for reinforcement learning with hidden state RA McCallum Technical Re-port 549, 1994 | 6 | 1994 |
Learning soft linear constraints with application to citation field extraction S Anzaroot, A Passos, D Belanger, A McCallum arXiv preprint arXiv:1403.1349, 2014 | 5 | 2014 |
Marginal inference in MRFs using Frank-Wolfe D Belanger, D Sheldon, A McCallum NIPS Workshop on Greedy Optimization, Frank-Wolfe and Friends, 2013 | 5 | 2013 |
Advances in Web Mining and Web Usage Analysis: 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007, Revised Papers Springer, 2009 | 5 | 2009 |
Training factor graphs with reinforcement learning for efficient map inference K Rohanimanesh, S Singh, A McCallum, MJ Black Advances in Neural Information Processing Systems, 2044-2052, 2009 | 5 | 2009 |
A Discriminative Approach to Ontology Mapping. ML Wick, K Rohanimanesh, A McCallum, AH Doan NTII, 16-19, 2008 | 5 | 2008 |
Challenges in Information Retrieval and Language Modeling J Allen, J Aslam, N Belkin, C Buckley, J Callan, WB Croft, S Dumais, ... SIGIR Forum 37 (1), 31-47, 2003 | 5 | 2003 |
First results with instance-based state identification for reinforcement learning RA McCallum University of Rochester, Department of Computer Science, 1994 | 5 | 1994 |
Compositional Vector Space Models for Knowledge Base Completion A Neelakantan, B Roth, A McCallum arXiv preprint arXiv:1504.06662, 2015 | 4 | 2015 |
A new dataset for fine-grained citation field extraction S Anzaroot, A McCallum ICML Workshop on Peer Reviewing and Publishing Models, 2013 | 4 | 2013 |
Machine translation using overlapping alignments and samplerank B Roth, A McCallum, M Dymetman, N Cancedda Proceedings of Association for Machine Translation in the Americas, Denver, CO, 2010 | 4 | 2010 |
Advances in learning and inference for partition-wise models of coreference resolution M Wick, A McCallum | 4 | 2009 |
Inference and learning in large factor graphs with adaptive proposal distributions K Rohanimanesh, M Wick, A McCallum | 4 | 2009 |
Community-based link prediction with text D Mimno, HM Wallach, A McCallum | 4 | 2007 |
Bibliometric impact measures leveraging topic analysis D Mimno, A McCallum, GS Mann jcdl, 65-74, 2006 | 4 | 2006 |
Multi-conditional learning for joint probability models with latent variables C Pal, X Wang, M Kelm, A McCallum | 4 | 2006 |
A probabilistic model for topic and role discovery in social networks and message text A McCallum, A Corrada-Emmanuel, X Wang Amherst, MA: University of Massachusetts, 2005 | 4 | 2005 |
Chinese word segmentation with conditional random fields and integrated domain knowledge A McCallum, FF Feng Unpublished Manuscript, 2003 | 4 | 2003 |
Creating customized authority lists H Chang, D Cohn, A McCallum In Proceedings of the 17th International Conference on Machine Learning, 1999 | 4 | 1999 |
Reduced training time for reinforcement learning with hidden state RA McCallum Proc., 11th Int'l. Machine Learning Workshop (Robot Learning), New Brunswick, NJ, 1994 | 4 | 1994 |
Word representations via Gaussian embedding L Vilnis, A McCallum arXiv preprint arXiv:1412.6623, 2014 | 3 | 2014 |
Assessing confidence of knowledge base content with an experimental study in entity resolution M Wick, S Singh, A Kobren, A McCallum Proceedings of the 2013 workshop on Automated knowledge base construction, 13-18, 2013 | 3 | 2013 |
Optimization and learning in factorie A Passos, L Vilnis, A McCallum NIPS Workshop on Optimization for Machine Learning (OPT), 2013 | 3 | 2013 |
Large-scale author co-reference via hierarchical entity representations M Wick, A Kobren, A McCallum Proceedings of the 30th International Conference on Machine Learning, 2013 | 3 | 2013 |
Proceedings [of the] Twenty-Fifth International Conference on Machine Learning International Machine Learning Society, 2008 | 3 | 2008 |
Cryptogram decoding for OCR using numerization strings G Huang, E Learned-Miller, A McCallum | 3 | 2007 |
Probabilistic representations for integrating unreliable data sources D Mimno, A McCallum, G Miklau Information integration on the web (IIWeb), papers from the 2007 AAAI ..., 2007 | 3 | 2007 |
Information extraction, data mining and joint inference A McCallum KDD 6, 835-835, 2006 | 3 | 2006 |
Semi-Supervised Learning K Nigam, A McCallum, T Mitchell MIT Press, Boston, chapter Semi-supervised Text Classification Using EM, 2006 | 3 | 2006 |
Constrained kronecker deltas for fast approximate inference and estimation C Pal, C Sutton, A McCallum Submitted to UAI, 2005 | 3 | 2005 |
Information extraction from the world wide web A McCallum, W Cohen Tutorial at NIPS, 2002 | 3 | 2002 |
Learning for text categorization M Sahami, M Craven, T Joachims, A McCallum number WS-98-05 in ICML/AAAI Workshop. AAAI Press, 1998 | 3 | 1998 |
Open Scholarship and Peer Review: a Time for Experimentation D Soergel, A Saunders, A McCallum | 2 | 2013 |
Human-machine cooperation: Supporting user corrections to automatically constructed kbs M Wick, K Schultz, A McCallum Proceedings of the Joint Workshop on Automatic Knowledge Base Construction ..., 2012 | 2 | 2012 |
Map inference in chains using column generation D Belanger, A Passos, S Riedel, A McCallum Advances in Neural Information Processing Systems, 1844-1852, 2012 | 2 | 2012 |
Learning to select actions for resource-bounded information extraction P Kinani, A McCallum | 2 | 2011 |
Towards asynchronous distributed MCMC inference for large graphical models S Singh, A McCallum | 2 | 2011 |
Inference and learning in large factor graphs with adaptive proposal distributions and a rank-based objective K Rohanimanesh, M Wick, A McCallum | 2 | 2009 |
Modeling career path trajectories D Mimno, A McCallum | 2 | 2008 |
String Edit Distance (and intro to dynamic programming) A McCallum Computational Linguistics, CMPSCI N 591, 2006 | 2 | 2006 |
Introduction to Statistical Relational Learing. C Sutton, A McCallum | 2 | 2006 |
Sparse forward-backward for fast training of conditional random fields C Sutton, C Pal, A McCallum MASSACHUSETTS UNIV AMHERST CENTER FOR INTELLIGENT INFORMATION RETRIEVAL, 2006 | 2 | 2006 |
On discriminative and semi-supervised dimensionality reduction C Pal, M Kelm, X Wang, G Druck, A McCallum | 2 | 2006 |
Collective multi-label text classification A McCallum, N Ghamrawi Proceedings of CIKM, 195-200, 2004 | 2 | 2004 |
Language Use in a Social Network: The Enron Email Dataset A Corrada-Emmanuel, A McCallum, X Wang CNLP Seminars, 2004 | 2 | 2004 |
Short-Term Memory in Visual Routines for" Off-Road Car Chasing" A Mccallum | 2 | 1994 |
Compositional Vector Space Models for Knowledge Base Inference A Neelakantan, B Roth, A McCallum 2015 AAAI Spring Symposium Series, 2015 | 1 | 2015 |
Message passing for soft constraint dual decomposition D Belanger, A Passos, S Riedel, A McCallum UAI, 2014 | 1 | 2014 |
Anytime Belief Propagation Using Sparse Domains S Singh, S Riedel, A McCallum arXiv preprint arXiv:1311.3368, 2013 | 1 | 2013 |
Toponym Recognition in Historical Maps by Gazetteer Alignment J Weinman Document Analysis and Recognition (ICDAR), 2013 12th International ..., 2013 | 1 | 2013 |
Human-machine cooperation with epistemological dbs: supporting user corrections to knowledge bases M Wick, K Schultz, A McCallum Proceedings of the Joint Workshop on Automatic Knowledge Base Construction ..., 2012 | 1 | 2012 |
Monte Carlo MCMC: efficient inference by sampling factors S Singh, M Wick, A McCallum Proceedings of the Joint Workshop on Automatic Knowledge Base Construction ..., 2012 | 1 | 2012 |
Speeding up MAP with Column Generation and Block Regularization D Belanger, A Passos, S Riedel, A McCallum Proc. of the ICML Workshop on Inferning: Interactions Between Inference and ..., 2012 | 1 | 2012 |
Inducing value sparsity for parallel inference in tree-shaped models S Singh, B Martin, A McCallum | 1 | 2011 |
Inter-Event Dependencies support Event Extraction from Biomedical Literature R Klinger, S Riedel, A McCallum Mining Complex Entities from Network and Biomedical Data (MIND), European ..., 2011 | 1 | 2011 |
InterNano: e-Science for the Nanomanufacturing Community R Reznik-Zellen, B Stevens, M Thorn, J Morse, M Smucker, J Allan, ... eScience, 2008. eScience'08. IEEE Fourth International Conference on, 382-383, 2008 | 1 | 2008 |
Unsupervised coreference of publication venues R Hall, C Sutton, A McCallum University of Massachusetts, Amherst, Amherst, MA, Tech. Rep, 2007 | 1 | 2007 |
Reducing annotation effort using generalized expectation criteria G Druck, G Mann, A McCallum MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2007 | 1 | 2007 |
Fast inference and learning with sparse belief propagation C Pal, C Sutton, A McCallum Advances in Neural Information Processing Systems (NIPS), 2005 | 1 | 2005 |
Short-term memory in visual routines for\ o-road car chasing RA McCallum Notes of AAAI Spring Symposium Series, Toward Physical Interaction and ..., 1994 | 1 | 1994 |
Reports on the 2015 AAAI Spring Symposium Series N Agarwal, S Andrist, D Bohus, F Fang, L Fenstermacher, L Kagal, T Kido, ... AI Magazine 36 (3), 113-119, 2015 | | 2015 |
Embedded Representations of Lexical and Knowledge-Base Semantics A McCallum Proceedings of the 2015 International Conference on The Theory of ..., 2015 | | 2015 |
Learning Dynamic Feature Selection for Fast Sequential Prediction E Strubell, L Vilnis, K Silverstein, A McCallum arXiv preprint arXiv:1505.06169, 2015 | | 2015 |
Bethe Projections for Non-Local Inference L Vilnis, D Belanger, D Sheldon, A McCallum arXiv preprint arXiv:1503.01397, 2015 | | 2015 |
Training for Fast Sequential Prediction Using Dynamic Feature Selection E Strubell, L Vilnis, A McCallum arXiv preprint arXiv:1410.8498, 2014 | | 2014 |
Reinforcement Learning with Hidden State RA McCallum Machine Learning Proceedings 1995: Proceedings of the Twelfth International ..., 2014 | | 2014 |
Faust: Flexible Acquistion and Understanding System for Text LL Voss, DE Wilkins, D Israel, C Manning, D Jurafsky, DS Weld, ... SRI INTERNATIONAL MENLO PARK CA, 2013 | | 2013 |
Latent Relation Representations for Universal Schemas S Riedel, L Yao, A McCallum arXiv preprint arXiv:1301.4293, 2013 | | 2013 |
Constraint-Driven Training of Complex Models Using MCMC S SINGH, G DRUCK, A MCCALLUM | | 2012 |
Foundations and Trends® in Machine Learning C Sutton, A McCallum Foundations and Trends® in Computer Graphics and Vision 6 (3-4), 2012 | | 2012 |
Inference by minimizing size, divergence, or their sum S Riedel, DA Smith, A McCallum arXiv preprint arXiv:1203.3511, 2012 | | 2012 |
Learning to Speed Up MAP Decoding with Column Generation D Belanger, A Passos, S Riedel, A McCallum | | 2012 |
Parallel Large-Scale Feature Selection J Kubicaa, S Singhb, D Sorokinac Scaling up Machine Learning: Parallel and Distributed Approaches, 2011 | | 2011 |
Selecting Actions for Resource-bounded Information Extraction using Reinforcement Learning A McCallum | | 2011 |
Correlations and Anticorrelations in LDA Inference A Passos, HM Wallach, A McCallum | | 2011 |
Discovering Issue-Based Voting Groups within the US Senate R Shorey, A McCallum, H Wallach | | 2010 |
Thirteenth Conference on Computational Natural Language Learning (CoNLL) S Stevenson, X Carreras | | 2009 |
Advances in Web Mining and Web Usage Analysis: 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers D Hutchison, CL Giles, R Goebel, T Kanade, J Kittler, JM Kleinberg, ... Springer Berlin Heidelberg, 2009 | | 2009 |
Towards Theoretical Bounds for Resource-bounded Information Gathering for Correlation Clustering P Kanani, A McCallum, R Sitaraman | | 2009 |
Integrated context and trend analysis using time series and topical regression analysis A McCallum, H Wallach, D Mimno | | 2008 |
MAP inference in Large Factor Graphs with Reinforcement Learning K Rohanimanesh, M Wick, S Singh, A McCallum | | 2008 |
Predicting Structured Data} Journal of Machine Learning Research} 1, 81-88, 2008 | | 2008 |
WebKDD/SNAKDD 2007: web mining and social network analysis post-workshop report H Zhang, J Yen, CL Giles, B Mombaster, M Spiliopoulou, J Srivastava, ... ACM SIGKDD Explorations Newsletter 9 (2), 87-92, 2007 | | 2007 |
Transfer Learning for Enhancing Information Flow in Organizations and Social Networks C Pal, X Wang, A McCallum MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2007 | | 2007 |
The Joint Ninth WEBKDD and 1st SNA-KDD Workshop on Web Mining and Social Network Analysis L Giles, A McCallum, B Mobasher, O Nasraoui, M Spiliopoulou, ... Proceedings of the 13th ACM SIGKDD international conference on Knowledge ..., 2007 | | 2007 |
Sparse Message Passing Algorithms forWeighted Maximum Satisfiability A Culotta, A McCallum, B Selman, A Sabharwal | | 2007 |
Undirected and Interpretable Continuous Topic Models of Documents X Wang, K Crammer, A McCallum | | 2007 |
Inferring gene annotations in Gene Ontology from gene expression data X Wang, D Kulp, A McCallum UMass CS Synthesis Project Report, 2006 | | 2006 |
Predictive Random Fields: Latent Variable Models Fit by Multiway Conditional Probability with Applications to Document Analysis A McCallum, X Wang, C Pal UMass Technical Report UM-CS-2005-053, 2005 | | 2005 |
BITS M Corner, A McCallum | | 2003 |