CIIR publications authored by Andrew McCallum


IR-1086: (2016) Bansal, T.,  Belanger, D. and McCallum, A., "Ask the GRU: Multi-Task Learning for Deep Text Recommendations," in the Proceedings of the 10th ACM Conference on Recommender Systems, Boston, USA, September 15-19, 2016, pp. 107-114. [View Abstract] [View bibtex]

IR-1044: (2015) Verga, P.,  Belanger, D.,  Strubell, E.,  Roth, B. and McCallum, A., "Multilingual Relation Extraction using Compositional Universal Schema," in the Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2016), San Diego, California, June 12 to June 17, 2016, pp. 886-896. [View Abstract] [View bibtex]

IR-1043: (2015) Belanger, D. and McCallum, A., "Structured Prediction Energy Networks," Proceedings of the 33rd International Conference on Machine Learning (ICML 2016), New York City, NY, USA, June 19–June 24, 2016, online proceedings only. [View Abstract] [View bibtex]

IR-1042: (2015) Belanger, D. and McCallum, A., "Scaling up Structured Multi-Label Prediction using Discriminative Mean Field Networks," NIPS Extreme Classification Workshop, Montreal, December 7-12, 2015. [View Abstract] [View bibtex]

IR-1038: (2015) Vilnis, L.,  Belanger, D.,  Sheldon, D. and McCallum, A., "Bethe Projections for Non-Local Inference," Conference on Uncertainty in Artificial Intelligence (UAI), Amsterdam, Netherlands, July 12-16, 2015. [View Abstract] [View bibtex]

IR-1037: (2015) Strubell, E.,  Vilnis, L.,  Silverstein, K. and McCallum, A., "Learning Dynamic Feature Selection for Fast Sequential Prediction," Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL '15) Beijing, China, July 26-31, 2015, pp. 146-155. [View Abstract] [View bibtex]

IR-1031: (2015) Vilnis, L. and McCallum, A., "Word Representations via Gaussian Embedding," Proceedings of the International Conference on Learning Representations (ICLR 2015, San Diego, May 7-9, 2015. [View Abstract] [View bibtex]

IR-1030: (2015) Neelakantan, A.,  Roth, B. and McCallum, A., "Compositional Vector Space Models for Knowledge Base Completion," Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and The 7th International Joint Conference of the Asian Federation of Natural Language Processing, Beijing, China, July 26-3, 2015, pp. 156-166. [View Abstract] [View bibtex]

IR-1029: (2015) Neelakantan, A.,  Roth, B. and McCallum, A., "Compositional Vector Space Models for Knowledge Base Inference," AAAI Spring Symposium on Knowledge Representation and Reasoning: Integrating Symbolic and Neural Approaches, Stanford University, CA, March 23-25, 2015. [View Abstract] [View bibtex]

IR-1016: (2015) Neelakantan, A.,  Roth, B. and McCallum, A., "Knowledge Base Completion using Compositional Vector Space Models. ," Workshop on Automated Knowledge Base Construction (AKBC) 2014 at NIPS, Montreal, Canada, December 13, 2014. [View Abstract] [View bibtex]

IR-1015: (2014) Kobren, A.,  Logan, T.,  Sampangi, S. and McCallum, A., "Domain Specific Knowledge Base Construction via Crowdsourcing," Neural Information Processing Systems: Workshop on Automated Knowledge Base Construction (AKBC 2014), Montreal, Canada, December 13, 2014. [View Abstract] [View bibtex]

IR-1009: (2014) Strubell, E.,  Vilnis, L. and McCallum, A., "Training for Fast Sequential Prediction Using Dynamic Feature Selection," NIPS Modern ML + NLP Workshop, Montreal, Quebec, Canada, December 12-13, 2014. [View Abstract] [View bibtex]

IR-1005: (2014) Neelakantan, A.,  Shankar, J.,  Passos, A. and McCallum, A., "Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space. ," Proceedings of the Conference on Empirical Methods in Natural Language Processing — October 25–29, 2014 — Doha, Qatar, pp. 1059–1069. [View Abstract] [View bibtex]

IR-995: (2014) Neelakantan, A.,  Passos, A. and McCallum, A., "A Hierarchical Model for Universal Schema Relation Extraction," Workshop on Automatic Creation and Curation of Knowledge Bases (WACCK-2014) at SIGMOD, June 27, 2014, Snowbird, Utah, USA. [View Abstract] [View bibtex]

IR-994: (2014) Anzaroot, S.,  Belanger, D.,  McCallum, A. and Passos, A., "Learning Soft Linear Constraints with Application to Citation Field Extraction," Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics,Volume 1: Long Papers, Baltimore, Md, June 23-25, 2014, pp. 593-602. [View Abstract] [View bibtex]

IR-972: (2013) Belanger, D.,  Sheldon, D. and McCallum, A., "Marginal Inference in MRFs using Frank-Wolfe," NIPS 2013 workshop on Greedy Optimization, Frank-Wolfe and Friend, Lake Tahoe, NV, December 9-10, 2013. [View Abstract] [View bibtex]

IR-971: (2013) Singh, S.,  Yao, L.,  Belanger, D.,  Kobren, A.,  Anzaroot, S.,  Wick, M.,  Passos, A.,  Pandya, H.,  Choi, J.,  Martin, B. and McCallum, A., "Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013," TACKBP 2013 Workshop, November 18-19, 2013. National Institute of Standards and Technology Gaithersburg, Maryland USA. [View Abstract] [View bibtex]

IR-963: (2013) Wick, M.,  Singh, S.,  Pandya, H. and McCallum, A., "A Joint Model for Discovering and Linking Entities," AKBC Workshop (at CIKM) 2013. [View Abstract] [View bibtex]

IR-962: (2013) Wick, M.,  Singh, S.,  Kobren, A. and McCallum, A., "Assessing Confidence of Knowledge Base Content with an Experimental Study in Entity Resolution," Proceedings of CIKM 2013 Workshop on Automated Knowledge Base Construction (AKBC). pp. 13-18. [View Abstract] [View bibtex]

IR-961: (2013) Singh, S.,  Riedel, S.,  Martin, B.,  Zheng, J. and McCallum, A., "Joint Inference of Entities, Relations, and Coreference," CIKM 2013 Workshop on Automated Knowledge Base Construction (AKBC). [View Abstract] [View bibtex]

IR-958: (2013) Yao, L.,  Riedel, S. and McCallum, A., "Universal Schema for Entity Type Prediction," Proceedings of Automatic Knowledge Base Construction (AKBC) workshops at CIKM, San Francisco, October 27-28, 2013, pp. 79-83. [View Abstract] [View bibtex]

IR-955: (2013) Soergel, D.,  Saunders, A. and McCallum, A., "Open Scholarship and Peer Review: a Time for Experimentation," Peer Reviewing and Publishing Models: A workshop in conjunction with the 30th International Conference on Machine Learning (ICML 2013), June 20, 2013, in Atlanta, Georgia, USA. [View Abstract] [View bibtex]

IR-954: (2013) Zheng, J.,  Vilnis, L.,  Singh, S.,  Choi, J. and McCallum, A., "Dynamic Knowledge-Base Alignment for Coreference Resolution," Proceedings of the Seventeenth Conference on Computational Natural Language Learning (CoNLL 2013), Sofia, Bulgaria, August 8-9, 2013. pp. 153-162. [View Abstract] [View bibtex]

IR-948: (2013) Riedel, S.,  Yao, L.,  McCallum, A. and Marlin, B., "Relation Extraction with Matrix Factorization and Universal Schemas," Proceedings of NAACL 2013, Atlanta, GA, pp. 74-84. [View Abstract] [View bibtex]

IR-947: (2013) Riedel, S.,  Yao, L. and McCallum, A., "Latent Relation Representations for Universal Schemas," workshop at International Conference on Learning Representations (ICLR2013), Scottsdale, Arizona, US, May 2-5, 2013. [View Abstract] [View bibtex]

IR-915: (2012) Belanger, D.,  McCallum, A.,  Passos, A. and Riedel, S., "MAP Inference in Chains using Column Generation," Proceedings of the 2012 Neural Information Processing Systems, Reno, Nevada, December 3-8, 2012, pp. 1853-1861. [View Abstract] [View bibtex]

IR-897: (2012) Belanger, D.,  Passos, A.,  Riedel, S. and McCallum, A., "Learning to speed up MAP decoding with column generation," ICML 2012 Workshop on Inferning: Interactions between Inference and Learning, Edinbrugh, UK. June 30, 2012. [View Abstract] [View bibtex]

IR-896: (2012) Yao, L.,  Riedel, S. and McCallum, A., "Probabilistic Databases of Universal Schema," Proceedings of The Knowledge Extraction Workshop at NAACL-HLT 2012, pp. 116-121. [View Abstract] [View bibtex]

IR-894: (2012) Singh, S.,  Wick, M. and McCallum, A., "Monte Carlo MCMC: Efficient Inference by Sampling Factors," a workshop presented at the NAACL Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX 2012), Montreal, Canada, June 7-8, 2012. [View Abstract] [View bibtex]

IR-893: (2012) Bakalov, A.,  McCallum, A.,  Wallach, H. and Mimno, D., "Topic Models for Taxonomies," Proceedings of the Joint Conference on Digital Libraries (JCDL 2012), pp. 237-240. [View Abstract] [View bibtex]

IR-888: (2012) Singh, S.,  Wick, M. and McCallum, A., "Monte Carlo MCMC: Efficient Inference by Approximate Sampling," Proceedings of the Conference on Empirical Methods in Natural Language Processing and Natural Language Learning (EMNLP-CONLL) 2012, pp. 1104-1113. [View Abstract] [View bibtex]

IR-877: (2011) Singh, S. and McCallum, A., "Towards Asynchronous Distributed MCMC Inference for Large Graphical Models," NIPS Workshop on Big Learning: Algorithms, Systems, and Tools for Learning at Scale, Sierra Nevada, Spain, December 16-17, 2011. [View Abstract] [View bibtex]

IR-876: (2011) Singh, S.,  Martin, B. and McCallum, A., "Inducing Value Sparsity for Parallel Inference in Tree-shaped Models," NIPS Workshop on Computational Trade-offs in Statistical Learning (COST), Sierra Nevada, Spain, December 16, 2011. [View Abstract] [View bibtex]

IR-869: (2012) Wick, M.,  Singh, S. and McCallum, A., "A Discriminative Hierarchical Model for Fast Coreference at Large Scale," Proceedings of the Association for Computational Linguistics (ACL 2012), pp. 379-388. [View Abstract] [View bibtex]

IR-867: (2012) Yao, L.,  Riedel, S. and McCallum, A., "Unsupervised Relation Discovery with Sense Disambiguation," Proceedings of the 50th Annual Meeting of the Association for Computation Linguistics (ACL12), pp. 712-720. [View Abstract] [View bibtex]

IR-859: (2011) Passos, A.,  Wallach, H. and McCallum, A., "Correlations and Anticorrelations in LDA Inference," NIPS 2011 Workshop on NIPS Workshop on Learning Challenges in Hierarchical Model. Granada, Spain, December 10-17, 2011. [View Abstract] [View bibtex]

IR-855: (2011) Wick, M. and McCallum, A., "Query-Aware MCMC," Proceedings of Neural Information Processing Systems (NIPS), pp. 2564-2572. [View Abstract] [View bibtex]

IR-852: (2010) Shorey, R.,  McCallum, A. and Wallach, H., "Discovering Issue-Based Voting Groups within the US Senate," Women in Machine Learning Workshop (WiML), Vancouver, Canada, December 6, 2010. [View Abstract] [View bibtex]

IR-850: (2011) Talley, E.,  Newman, D.,  Mimno, D.,  Herr, B.,  Wallach, H.,  Burns, G.,  Leenders, M. and McCallum, A., "Database of NIH grants using machine-learned categories and graphical clustering," Nature Methods 8, 443–444 (2011). [View Abstract] [View bibtex]

IR-848: (2011) Druck, G. and McCallum, A., "Toward Interactive Training and Evaluation," Proceedings of the 20th ACM Conference on Information and Knowledge Management, pp. 947-956. [View Abstract] [View bibtex]

IR-845: (2011) Kanani, P. and McCallum, A., "Selecting Actions for Resource-bounded Information Extraction using Reinforcement Learning," Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, pp. 253-262. [View Abstract] [View bibtex]

IR-833: (2011) Kanani, P. and McCallum, A., "Learning to Select Actions for Resource-bounded Information Extraction," UMass Technical Report UM-CS-2011-042. [View Abstract] [View bibtex]

IR-831: (2011) Riedel, S. and McCallum, A., "Fast and Robust Joint Models for Biomedical Event Extraction," Proceedings of EMNLP 2011. [View Abstract] [View bibtex]

IR-826: (2011) Wick, M.,  Rohanimanesh, K.,  Bellare, K.,  Culotta, A. and McCallum, A., "SampleRank: Training Factor Graphs with Atomic Gradients," Proceecings of the International Conference on Machine Learning (ICML), pp. 777-784. [View Abstract] [View bibtex]

IR-820: (2011) Yao, L.,  Haghighi, A.,  Riedel, S. and McCallum, A., "Structured Relation Discovery using Generative Models," Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 1456–1466. [View Abstract] [View bibtex]

IR-816: (2011) Singh, S.,  Subramanya, A.,  Pereira, F. and McCallum, A., "Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models," ]Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL HLT), pp. 793-803. [View Abstract] [View bibtex]

IR-797: (2009) Kanani, P.,  McCallum, A. and Sitaraman, R., "Towards Theoretical Bounds for Resource-bounded Information Gathering for Correlation Clustering," UMass TechReport UM-CS-2009-027. [View Abstract] [View bibtex]

IR-795: (2010) Yao, L.,  Riedel, S. and McCallum, A., "Collective Cross-Document Relation Extraction without Labelled Data," Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP10), pp. 1013-1023. [View Abstract] [View bibtex]

IR-794: (2010) Mimno, D.,  Wallach, H.,  Talley, E.,  Leenders, M. and McCallum, A., "Optimizing Semantic Coherence in Topic Models," Proceedings of the Conference on Empirical Methods in Natural Language Processing, July 27–31, 2011, Edinburgh, Scotland, UK. [View Abstract] [View bibtex]

IR-779: (2010) Wick, M.,  McCallum, A. and Miklau, G., "Scalable Probabilistic Databases with Factor Graphs and MCMC," Proceedings of VLDB, pp. 794-804. [View Abstract] [View bibtex]

IR-773: (2010) Singh, S.,  Yao, L.,  Riedel, S. and McCallum, A., "Constraint-Driven Rank-Based Learning for Information Extraction," Proceedings of Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT), pp. 729-732. [View Abstract] [View bibtex]

IR-771: (2010) Druck, G. and McCallum, A., "High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models," Proceedings of the 27th International Conference on Machine Learning (ICML 2010), pp. 319-326. [View Abstract] [View bibtex]

IR-770: (2010) Riedel, S.,  Smith, D. and McCallum, A., "Inference by Minimizing Size, Divergence, or their Sum," Proceedings of UAI 2010, San Catalina, USA (online proceedings only). [View Abstract] [View bibtex]

IR-769: (2010) Riedel, S.,  Yao, L. and McCallum, A., "Modeling Relations and Their Mentions without Labeled Text," Proceedings of ECML/PKDD, Barcelona, Spain, pp. 148-163. [View Abstract] [View bibtex]

IR-763: (2010) Kanani, P.,  McCallum, A. and Hu, S., "Resource-bounded Information Extraction: Acquiring Missing Feature Values On Demand," Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Hyderabad, India, pp. 415-427. [View Abstract] [View bibtex]

IR-746: (2009) Wick, M.,  Rohanimanesh, K.,  Singh, S. and McCallum, A., "Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference," Neural Information Processing Systems (NIPS), pp. 2044-2052. [View Abstract] [View bibtex]

IR-744: (2009) McCallum, A.,  Schultz, K. and Singh, S., "FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs," Neural Information Processing Systems Conference (NIPS 09) Vancouver, Canada, December 7-10, 2009. [View Abstract] [View bibtex]

IR-741: (2009) Wallach, H.,  Mimno, D. and McCallum, A., "Rethinking LDA: Why Priors Matter," Proceedings of the 23rd Annual Conference on Neural Information Processing Systems, pp. 1973-1981. [View Abstract] [View bibtex]

IR-740: (2009) Mimno, D.,  Wallach, H.,  Naradowsky, J.,  Smith, D. and McCallum, A., "Polylingual Topic Models," Proceedings of EMNLP 2009, pp. 880-889. [View Abstract] [View bibtex]

IR-736: (2009) Singh, S.,  Schultz, K. and McCallum, A., "Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs," Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009), pp. 414-429. [View Abstract] [View bibtex]

IR-730: (2009) Bellare, K. and McCallum, A., "Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment ," Proceedings of Empirical Methods in Natural Language Processing (EMNLP'09), pp.131-140. [View Abstract] [View bibtex]

IR-729: (2009) Druck, G.,  Settles, B. and McCallum, A., "Active Learning by Labeling Features," Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 09), pp. 81-90. [View Abstract] [View bibtex]

IR-728: (2009) Bellare, K.,  Druck, G. and McCallum, A., "Alternating Projections for Learning with Expectation Constraints ," Proceedings of the Conference on Uncertainty in Artificial Intelligence UAI'09, pp. 35-42. [View Abstract] [View bibtex]

IR-727: (2008) Rohanimanesh, K.,  Wick, M.,  Singh, S. and McCallum, A., "MAP inference in Large Factor Graphs with Reinforcement Learning," University of Massachusetts Technical Report #UM-CS-2008-040 Amherst, MA. 2008. [View Abstract] [View bibtex]

IR-726: (2009) Rohanimanesh, K.,  Wick, M. and McCallum, A., "Inference and Learning in Large Factor Graphs with Adaptive Proposal Distributions and a Rank-based Objective," CIIR Technical Report, CMPSCI Technical Report UM-CS-2009-008. [View Abstract] [View bibtex]

IR-724: (2009) Druck, G.,  Mann, G. and McCallum, A., "Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria," Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL 2009), pp. 360-368. [View Abstract] [View bibtex]

IR-721: (2009) Yao, L.,  Mimno, D. and McCallum, A., "Efficient Methods for Topic Model Inference on Streaming Document Collections," The 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 937-946. [View Abstract] [View bibtex]

IR-700: (2009) Wick, M.,  Culotta, A.,  Rohanimanesh, K. and McCallum, A., "An Entity Based Model for Coreference Resolution," SIAM International Conference on Data Mining (SDM), online proceedings only #36. [View Abstract] [View bibtex]

IR-697: (2008) McCallum, A.,  Rohanimanesh, K.,  Wick, M.,  Schultz, K. and Singh, S., "FACTORIE: Efficient Probabilistic Programming via Imperative Declarations of Structure, Inference and Learning," NIPS workshop on Probabilistic Programming, Vancouver, B.C., Canada, 2008. [View Abstract] [View bibtex]

IR-696: (2008) Mimno, D.,  Wallach, H. and McCallum, A., "Gibbs Sampling for Logistic Normal Topic Models with Graph-Based Priors," NIPS workshop on graph mining, Whistler, BC, December 12, 2008. [View Abstract] [View bibtex]

IR-685: (2008) Wallach, H.,  Sutton, C. and McCallum, A., "Bayesian Modeling of Dependency Trees Using Hierarchical Pitman-Yor Priors," Proceedings of the Workshop on Prior Knowledge for Text and language (in conjunction with ICML/UAI/COLT), pp. 15-20. [View Abstract] [View bibtex]

IR-684: (2008) Wick, M.,  Rohanimanesh, K.,  Schultz, K. and McCallum, A., "A Unified Approach for Schema Matching, Coreference and Canonicalization," Proceedings of the 14th ACM SIGKDD international conference on Knowledge Discovery and Data Mining (KDD), Las Vegas, Nevada, pp. 722-730. [View Abstract] [View bibtex]

IR-683: (2008) Wick, M.,  Rohanimanesh, K. and McCallum, A., "A Discriminative Approach to Ontology Alignment," in the electronic Proceedings of the International Workshop on New Trends in Information Integration (NTII) at the conference for Very Large Databases (VLDB), Auckland, New Zealand, 2008. [View Abstract] [View bibtex]

IR-682: (2008) Hall, R.,  Sutton, C. and McCallum, A., "Unsupervised Deduplication Using Cross-Field Dependencies," Proceedings 14th International SIGKDD Conference on Knowledge Discovery and Data Mining, pp.310-317. [View Abstract] [View bibtex]

IR-678: (2008) Mann, G. and McCallum, A., "Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields," in the Proceedings of Association of Computational Linguistics, (ACL), pp. 870-878. [View Abstract] [View bibtex]

IR-677: (2007) McCallum, A. and Wang, X., "Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email.," Journal of Artificial Intelligence Research (JAIR), 2007, vol. 30, pp. 249-272. [View Abstract] [View bibtex]

IR-674: (2008) Druck, G.,  Miklau, G. and McCallum, A., "Learning to Predict the Quality of Contributions to Wikipedia," Proceedings of the AAAI Workshop on Wikipedia and Artificial Intelligence, Chicago, IL, pp. 7-12. [View Abstract] [View bibtex]

IR-666: (2008) Mimno, D. and McCallum, A., "Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression," Proceedings of Uncertainty in Artificial Intelligence (UAI), pp. 411-418. [View Abstract] [View bibtex]

IR-662: (2004) Li, W. and McCallum, A., "A Note on Semi-Supervised Learning using Markov Random Fields," CIIR Technical Report, February 2004. [View Abstract] [View bibtex]

IR-660: (2008) Druck, G.,  Mann, G. and McCallum, A., "Learning from Labeled Features using Generalized Expectation Criteria," Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 595-602. [View Abstract] [View bibtex]

IR-640: (2007) Bellare, K.,  Talukdar, P.,  Kumaran, G.,  Pereira, F.,  Liberman, M.,  McCallum, A. and Dredze, M., "Lightly-Supervised Attribute Extraction for Web Search," NIPS 2007 Workshop on Machine Learning for Web Search, Whistler, BC, Canada, December 7, 2007. [View Abstract] [View bibtex]

IR-634: (2007) Druck, G.,  Mann, G. and McCallum, A., "Leveraging Existing Resources using Generalized Expectation Criteria," Workshop on Principles of Learning Problem Design at the Twenty-First Annual Conference on Neural Information Processing Systems, Whistler, BC, Canada, December 7-8, 2007. [View Abstract] [View bibtex]

IR-633: (2007) Mimno, D.,  Wallach, H. and McCallum, A., "Community-based Link Prediction," a workshop at NIPS 2007, Vancouver CA, December, 2007. [View Abstract] [View bibtex]

IR-619: (2007) Bellare, K. and McCallum, A., "Learning Extractors from Unlabeled Text using Relevant Databases," Proceedings of the AAAI Workshop on Information Integration on the Web (IIWeb-AAAI'07). [View Abstract] [View bibtex]

IR-610: (2007) Druck, G.,  Pal, C.,  Zhu, X. and McCallum, A., "Semi-Supervised Classification with Hybrid Generative/Discriminative Methods," Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2007), pp. 280-289. [View Abstract] [View bibtex]

IR-609: (2007) Wang, X.,  Pal, C. and McCallum, A., "Generalized Component Analysis for Text with Heterogeneous Attributes," Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 794-803, 2007. [View Abstract] [View bibtex]

IR-608: (2007) McCallum, A.,  Wang, X. and Corrada-Emmanuel, A., "Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email," Journal of Artificial Intelligence, Volume 30, pp. 249-272, 2007. [View Abstract] [View bibtex]

IR-605: (2007) Mimno, D. and McCallum, A., "Expertise Modeling for Matching Papers with Reviewers," Proceedings of KDD 2007, pp. 500-509. [View Abstract] [View bibtex]

IR-604: (2007) Kanani, P. and McCallum, A., "Efficient Strategies for Improving Partitioning-Based Author Coreference by Incorporating Web Pages as Graph Nodes," Proceedings of the Workshop on Information Integration on the Web (IIWEB 07), pp. 38-43. [View Abstract] [View bibtex]

IR-603: (2007) Li, W.,  Blei, D. and McCallum, A., "Nonparametric Bayes Pachinko Allocation," a workshop at the 23rd Conference on Uncertainty in Artificial Intelligence (UAI), July 19-22, 2007, Vancouver, BC Canada. [View Abstract] [View bibtex]

IR-602: (2007) Culotta, A.,  Wick, M.,  Hall, R.,  Marzilli, M. and McCallum, A., "Canonicalization of Database Records using Adaptive Similarity Measures," Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 07),pp. 201-209. [View Abstract] [View bibtex]

IR-601: (2007) Culotta, A.,  Kanani, P.,  Hall, R.,  Wick, M. and McCallum, A., "Author Disambiguation using Error-driven Machine Learning with a Ranking Loss Function," a workshop at the Sixth International Workshop on Information Integration on the Web (IIWeb-07, Vancouver, Canada. [View Abstract] [View bibtex]

IR-597: (2007) Sutton, C. and McCallum, A., "Improved Dynamic Schedules for Belief Propagation," in the Proceedings of the Conference on Uncertainty in Artificial Intelligence, pp.376-383. [View Abstract] [View bibtex]

IR-588: (2007) Kanani, P. and McCallum, A., "Resource-bounded Information Gathering for Correlation Clustering," in the Proceedings of Computational Learning Theory 07, Open Problems Track, COLT 2007, LNAI 4539, pp. 625627. [View Abstract] [View bibtex]

IR-587: (2007) Mimno, D.,  Li, W. and McCallum, A., "Mixtures of Hierarchical Topics with Pachinko Allocation," Proceedings of ICML 2007, Corvallis, OR, PP. 633-640. [View Abstract] [View bibtex]

IR-584: (2007) Wang, X.,  Pal, C. and McCallum, A., "Undirected and Interpretable Continuous Topic Models of Documents," CIIR Technical Report. [View Abstract] [View bibtex]

IR-582: (2007) Ganchev, K.,  Crammer, K.,  Pereira, F.,  Mann, G.,  Bellare, K.,  McCallum, A.,  Carroll, S.,  Jin, Y. and White, P., "Penn/UMass/CHOP BiocreativeII Systems," in the Proceedings of the Biocreative II Workshop, pp. 119 - 124. [View Abstract] [View bibtex]

IR-581: (2007) Mann, G. and McCallum, A., "Simple, Robust, Scalable Semi-supervised Learning via Expectation Regularization," in the Proceedings of the International Conference on Machine Learning, pp. 593-600. [View Abstract] [View bibtex]

IR-580: (2007) Mann, G. and McCallum, A., "Efficient Computation of Entropy Gradient for Semi-Supervised Conditional Random Fields," Proceedings of the Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007), pp. 109-112. [View Abstract] [View bibtex]

IR-579: (2007) Sutton, C. and McCallum, A., "Piecewise Pseudolikelihood for Efficient CRF Training," Proceedings of the International Conference on Machine Learning (ICML), pp. 376-383. [View Abstract] [View bibtex]

IR-577: (2007) Huang, G.,  Learned-Miller, E. and McCallum, A., "Cryptogram Decoding for OCR using Numerization Strings," Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), pp. 208-212. [View Abstract] [View bibtex]

IR-576: (2007) Culotta, A.,  McCallum, A.,  Selman, B. and Sabharwal, A., "Sparse Message Passing Algorithms for Weighted Maximum Satisfiability," presented at North East Student Colloquium on Artificial Intelligence (NESCAI), Ithaca, NY. [View Abstract] [View bibtex]

IR-574: (2007) Mimno, D. and McCallum, A., "Mining a digital library for influential authors," Proceedings of the ACM IEEE Joint Conference on Digital Libraries (JCDL 2007), pp. 105-106. [View Abstract] [View bibtex]

IR-571: (2007) Mimno, D. and McCallum, A., "Organizing the OCA: Learning faceted subjects from a library of digital books," Proceedings of the ACM IEEE Joint Conference on Digital Libraries (JCDL 2007), PP. 376-385. [View Abstract] [View bibtex]

IR-549: (2006) Pal, C.,  Kelm, M.,  Wang, X.,  Druck, G. and McCallum, A., "On Discriminative and Semi-Supervised Dimensionality Reduction," a workshop at Advances in Neural Information Processing Systems (NIPS) Workshop on Novel Applications of Dimensionality Reduction, Whistler, BC, Canada, December 9, 2006. [View Abstract] [View bibtex]

IR-540: (2006) Culotta, A.,  Wick, M. and McCallum, A., "First-Order Probabilistic Models for Coreference Resolution," in the Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007),pp. 81-88. [View Abstract] [View bibtex]

IR-537: (2006) Culotta, A.,  Kristjansson, T.,  McCallum, A. and Viola, P., "Corrective Feedback and Persistent Learning for Information Extraction," Artificial Intelligence. 170:1101-1122. 2006. [View Abstract] [View bibtex]

IR-535: (2006) McCallum, A.,  Wang, X. and Mohanty, N., "Joint Group and Topic Discovery from Relations and Text," in Statistical Network Analysis: Models, Issues and New Directions, edited by A. Goldenberg, E. Airoldi, S. Fienberg, A. Zheng, D. Blei and E. Xing, Lecture Notes in Computer Science 4503, pp. 28-44, 2007. [View bibtex]

IR-529: (2007) Kanani, P.,  McCallum, A. and Pal, C., "Improving Author Coreference by Resource-bounded Information Gathering from the Web," in the Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 07), pp. 429-434. [View Abstract] [View bibtex]

IR-524: (2007) Wang, X.,  McCallum, A. and Wei, X., "Topical N-grams: Phrase and Topic Discovery, with an Application to Information Retrieval," Proceedings of the 7th IEEE International Conference on Data Mining, pp. 697-702. [View Abstract] [View bibtex]

IR-523: (2006) Culotta, A. and McCallum, A., "Tractable Learning and Inference with High-Order Representations. ," an ICML Workshop on Open Problems in Statistical Relational Learning. Pittsburgh, PA. 2006. [View Abstract] [View bibtex]

IR-520: (2006) Kelm, M.,  Pal, C. and McCallum, A., "Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning," in the Proceedings of the 18th International Conference on Pattern Recognition, Pattern Recognition, 2006. ICPR 2006,Volume 2, 20-24 Aug. 2006 Page(s):828 - 832. [View Abstract] [View bibtex]

IR-519: (2006) Pal, C.,  Wang, X.,  Kelm, M. and McCallum, A., "Multi-Conditional Learning for Joint Probability Models with Latent Variables," a Workshop at the 19th Annual Conference on Neural Information Processing Systems Workshop on Advances in Structured Learning for Text and Speech Processing, Whistler British Columbia, Canada. Dec. 9-10, 2005. [View Abstract] [View bibtex]

IR-518: (2006) Pal, C. and McCallum, A., "CC Prediction with Graphical Models," in the Proceedings of the Third Conference on Email and Anti-Spam, pp. 52-54. [View Abstract] [View bibtex]

IR-517: (2006) McCallum, A.,  Pal, C.,  Druck, G. and Wang, X., "Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification," in the Proceedings of AAAI '06: American Association for Artificial Intelligence National Conference on Artificial Intelligence, pp. 433-439. [View Abstract] [View bibtex]

IR-516: (2006) Wang, X.,  Mohanty, N. and McCallum, A., "Group and Topic Discovery from Relations and Their Attributes," Proceedings of NIPS 2005, pp. 1449-1456. [View Abstract] [View bibtex]

IR-515: (2005) Wang, X. and McCallum, A., "A Note on Topical N-grams," UMass Technical Report UM-CS-2005-071. [View Abstract] [View bibtex]

IR-514: (2006) Wang, X. and McCallum, A., "Topics over Time: A Non-Markov Continuous-Time Model of Topical Trends," in the Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 424-433. [View Abstract] [View bibtex]

IR-513: (2006) Li, W.,  Wang, X. and McCallum, A., "A Continuous-Time Model of Topic Co-occurrence Trends," Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 48-53. [View Abstract] [View bibtex]

IR-512: (2006) Li, W. and McCallum, A., "Pachinko Allocation: DAG-Structured Mixture Models of Topic Correlations," in the Proceedings of the 23rd International Conference on Machine Learning (ICML 2006), pp. 577-584. [View Abstract] [View bibtex]

IR-497: (2007) Sutton, C.,  McCallum, A. and Rohanimanesh, K., "Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data.," in the Journal of Machine Learning Research, JMLR 8(Mar):693-723, 2007. [View Abstract] [View bibtex]

IR-496: (2006) Culotta, A. and McCallum, A., "Practical Markov logic containing first-order quantifiers with application to identity uncertainty," the Proceedings of HLT Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing, pp.41-48. [View Abstract] [View bibtex]

IR-495: (2006) Wick, M.,  Culotta, A. and McCallum, A., "Learning Field Compatibilities to Extract Database Records from Unstructured Text," the Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing(EMNLP 2006), pp. 603-611. [View Abstract] [View bibtex]

IR-494: (2006) Culotta, A.,  McCallum, A. and Betz, J., "Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text," Proceedings of HLT 2006, pp.296-303. [View Abstract] [View bibtex]

IR-488: (2006) Feng, S.,  Manmatha, R. and McCallum, A., "Exploring the Use of Conditional Random Field Models and HMMs for Historical Handwritten Document Recognition," in the Proceedings of the 2nd IEEE International Conference on Document Image Analysis for Libraries (DIAL 06), pp. 30-37. [View Abstract] [View bibtex]

IR-476: (2006) Mann, G.,  Mimno, D. and McCallum, A., "Bibliometric Impact Measures Leveraging Topic Analysis," the Proceedings of the Joint Conference on Digital Libraries, pp. 65-74. [View Abstract] [View bibtex]

IR-465: (2006) Sutton, C. and McCallum, A., "An Introduction to Conditional Random Fields for Relational Learning," Introduction to Statistical Relational Learning. Edited by Lise Getoor and Ben Taskar. MIT Press. 2006, chapter 4, pp. 93-128. [View bibtex]

IR-462: (2005) Sutton, C.,  Sindelar, M. and McCallum, A., "Reducing Weight Undertraining in Structured Discriminative Learning," in the Proceedings of HLT/NAACL 2006, New York City,pp.89-95. [View Abstract] [View bibtex]

IR-457: (2006) Sutton, C.,  Pal, C. and McCallum, A., "Sparse forward-backward using minimum divergence beams for fast training of conditional random fields," in the Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), v. 5 pp. 581-584. [View Abstract] [View bibtex]

IR-456: (2005) Sutton, C.,  Pal, C. and McCallum, A., "Sparse Forward-Backward for Fast Training of Conditional Random Fields," NIPS 2005 Workshop on Structured Learning for Text and Speech Processing. Vancouver, 2005. [View Abstract] [View bibtex]

IR-447: (2005) McCallum, A., "Information Extraction: Distilling Structured Data from Unstructured Text," ACM Queue. Vol 3, No 9, November 2005, pp. 48-57. [View Abstract] [View bibtex]

IR-443: (2005) Culotta, A. and McCallum, A., "A Conditional Model of Deduplication for Multi-type Relational Data ," CIIR Technical Report. [View Abstract] [View bibtex]

IR-440: (2003) Li, W. and McCallum, A., "Rapid Development of Hindi Named Entity Recognition Using Conditional Random Fields and Feature Induction," ACM Transactions on Asian Language Information Processing, 2003. Volume 2, Issue 3, Pages: 290 - 294. [View Abstract] [View bibtex]

IR-438: (2005) Wang, X.,  Mohanty, N. and McCallum, A., "Group and Topic Discovery from Relations and Text," Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Workshop on Link Discovery: Issues, Approaches and Applications(LinkKDD), pp. 28-35. [View Abstract] [View bibtex]

IR-437: (2005) McCallum, A.,  Bellare, K. and Pereira, F., "A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance," the Proceedings of the 21st Conference on Uncertainty in AI (UAI-2005), pp. 388-395. [View Abstract] [View bibtex]

IR-434: (2005) McCallum, A.,  Wang, X. and Pal, C., "Predictive Random Fields: Multiway Conditional Probability Models for Clustering," CIIR Technical Report, CmpSci Technical Report UM-CS-2005-053. [View Abstract] [View bibtex]

IR-433: (2005) Pal, C.,  Sutton, C. and McCallum, A., "Fast Inference and Learning With Sparse Belief Propagation," CIIR Technical Report. [View Abstract] [View bibtex]

IR-430: (2005) Culotta, A. and McCallum, A., "Practical Markov Logic Containing First-Order Quantifiers with Application to Identity Uncertainty," CIIR Technical Report. [View Abstract] [View bibtex]

IR-429: (2005) Metzler, D., Croft, W. B. and McCallum, A., "Direct Maximization of Rank-Based Metrics for Information Retrieval," CIIR Technical Report. [View Abstract] [View bibtex]

IR-427: (2005) Bekkerman, R.,  El-Yaniv, R. and McCallum, A., "Multi-Way Distributional Clustering via Pairwise Interactions," the Proceedings of ICML 2005 conference, pp.41-48. [View Abstract] [View bibtex]

IR-423: (2005) Sutton, C. and McCallum, A., "Joint Parsing and Semantic Role Labeling," the Proceedings of the Ninth Conference on Computational Natural Language Learning, pp. 225-228. [View Abstract] [View bibtex]

IR-419: (2005) Culotta, A.,  Kulp, D. and McCallum, A., "Gene prediction with conditional random fields," CIIR Technical Report, April, 2005. [View Abstract] [View bibtex]

IR-418: (2005) Bekkerman, R.,  McCallum, A. and Huang, G., "Automatic Categorization of Email into Folders: Benchmark Experiments on Enron and SRI Corpora," CIIR Technical Report. [View Abstract] [View bibtex]

IR-415: (2005) Sutton, C. and McCallum, A., "Piecewise Training for Undirected Models," Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI 2005), pp. 568-575. [View Abstract] [View bibtex]

IR-414: (2005) Culotta, A. and McCallum, A., "Reducing labeling effort for structured prediction tasks," Proceedings of the American Association of Artificial Intelligence (AAAI05) pp. 746-751. [View Abstract] [View bibtex]

IR-413: (2005) Sutton, C. and McCallum, A., "Composition of Conditional Random Fields for Transfer Learning," Proceedings of HLT/EMNLP 2005, pp. 748-754. [View Abstract] [View bibtex]

IR-411: (2005) Culotta, A. and McCallum, A., "Joint Deduplication of Multiple Record Types in Relational Data," Proceedings of ACM Fourteenth Conference on Information and Knowledge Management (CIKM), pp. 257-258. [View Abstract] [View bibtex]

IR-406: (2005) McCallum, A.,  Corrada-Emmanuel, A. and Wang, X., "Topic and Role Discovery in Social Networks," Proceedings of Nineteenth International Joint Conference on Artificial Intelligence, pp.786-791. [View Abstract] [View bibtex]

IR-404: (2005) Ghamrawi, N. and McCallum, A., "Collective Multi-label Classification," Proceedings of CIKM 2005, pp. 195-200. [View Abstract] [View bibtex]

IR-403: (2005) Sutton, C. and McCallum, A., "Fast, Piecewise Training for Discriminative Finite-state and Parsing Models," CIIR Technical Report [View Abstract] [View bibtex]

IR-402: (2005) Sutton, C.,  Sindelar, M. and McCallum, A., "Feature Bagging: Preventing Weight Undertraining in Structured Discriminative Learning," CIIR Technical Report. [View Abstract] [View bibtex]

IR-384: (2004) Weinman, J.,  Hanson, A. and McCallum, A., "Sign Detection in Natural Images with Conditional Random Fields," the Proceedings of IEEE International Workshop on Machine Learning for Signal Processing, So Lus, Brazil, Sep. 2004. [View Abstract] [View bibtex]

IR-383: (2004) McCallum, A. and Sutton, C., "Piecewise Training with Parameter Independence Diagrams: Comparing Globally- and Locally-trained Linear-chain CRFs," CIIR Technical Report; presented at NIPS 2004 Workshop on Learning with Structured Outputs. [View Abstract] [View bibtex]

IR-382: (2005) Bekkerman, R. and McCallum, A., "Disambiguating Web Appearances of People in a Social Network," Proceedings of the 14th International World Wide Web Conference 2005, pp.463-470. [View Abstract] [View bibtex]

IR-381: (2004) McCallum, A.,  Corrada-Emmanuel, A. and Wang, X., "The Author-Recipient-Topic Model for Topic and Role Discovery in Social Networks," CIIR Technical Report. [View Abstract] [View bibtex]

IR-376: (2004) Sutton, C. and McCallum, A., "Collective Segmentation and Labeling of Distant Entities in Information Extraction," CmpSci Technical Report TR # 04-49, University of Massachusetts, July 2004. Presented at ICML Workshop on Statistical Relational Learning and Its Connections to Other Fields. Banff, Canada. [View Abstract] [View bibtex]

IR-374: (2004) Culotta, A.,  Bekkerman, R. and McCallum, A., "Extracting social networks and contact information from email and the Web," the electronic Proceedings of the First Conference on Email and Spam (CEAS), http://www.ceas.cc/. [View Abstract] [View bibtex]

IR-369: (2004) Raghavan, H.,  Allan, J. and McCallum, A., "An Exploration of Entity Models, Collective Classification and Relation Description," Proceedings of the Second International Workshop on Link Analysis and Group Detection, LinkKDD2004, August 22, 2004 in conjunction with the tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, WA, USA, pp 1-10. [View Abstract] [View bibtex]

IR-364: (2004) Wei, X., Croft, W. B. and McCallum, A., "Table Extraction for Question Answering," Journal of Information Retrieval, November, 2006, vol. 9, Number 5, pp. 589-611. [View Abstract] [View bibtex]

IR-363: (2004) Peng, F.,  Feng, F. and McCallum, A., "Chinese Segmentation and New Word Detection using Conditional Random Fields," Proceedings of The 20th International Conference on Computational Linguistics (COLING 2004), pp. 562-568. [View Abstract] [View bibtex]

IR-362: (2004) Kumaran, G.,  Allan, J. and McCallum, A., "Classification Models for New Event Detection," CIIR Technical Report. [View Abstract] [View bibtex]

IR-356: (2003) Allan, J.,  Aslam, J.,  Belkin, N.,  Buckley, C.,  Callan, J., Croft, W. B. ,  Dumais, S.,  Fuhr, N.,  Harman, D.,  Harper, D.,  Hiemstra, D.,  Hofmann, T.,  Hovy, E.,  Kraaij, W.,  Lafferty, J.,  Lavrenko, V.,  Lewis, D.,  Liddy, L.,  Manmatha, R.,  McCallum, A.,  Ponte, J.,  Prager, J.,  Radev, D.,  Resnik, P.,  Robertson, S.,  Rosenfeld, R.,  Roukos, S.,  Sanderson, M.,  Schwartz, R.,  Singhal, A.,  Smeaton, A.,  Turtle, H.,  Voorhees, E.,  Weischedel, R.,  Xu, J. and Zhai, C., "Challenges in Information Retrieval Language Modeling," SIGIR Forum, Spring 2003, Volume 37 Number 1. [View bibtex]

IR-353: (2004) Culotta, A. and McCallum, A., "Confidence Estimation for Information Extraction," Proceedings of HLT-NAACL 2004, presented as a poster, pp. 109-112. [View Abstract] [View bibtex]

IR-348: (2004) Sutton, C.,  Rohanimanesh, K. and McCallum, A., "Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data ," Proceedings of the Twenty-First International Conference on Machine Learning, pp. 783-790. [View Abstract] [View bibtex]

IR-335: (2004) Kristjansson, T.,  Culotta, A.,  Viola, P. and McCallum, A., "Interactive Information Extraction with Constrained Conditional Random Fields," Proceedings of the Sixteenth Innovative Applications of AI Conference (AAAI 2004),pp. 412-418. [View Abstract] [View bibtex]

IR-329: (2004) Peng, F. and McCallum, A., "Accurate Information Extraction from Research Papers using Conditional Random Fields," Proceedings of HLT-NAACL 04, Boston, Massachusetts, pp. 329-336. [View bibtex]

IR-308: (2003) Raina, R.,  Shen, Y.,  Ng, A. and McCallum, A., "Classification with Hybrid Generative/Discriminative Models," Proceedings of NIPS 03 conference, Vancouver at Whistler, British Columbia, Canada, December 9-11, 2003. [View Abstract] [View bibtex]

IR-307: (2004) McCallum, A. and Wellner, B., "Conditional Models of Identity Uncertainty with Application to Noun Coreference ," Proceedings of Neural Information Processing Systems (NIPS) 2004 Workshops, abstract on p. 56. [View Abstract] [View bibtex]

IR-306: (2003) McCallum, A. and Jensen, D., "A Note on the Unification of Information Extraction and Data Mining using Conditional-Probability, Relational Models ," Proceedings of the IJCAI Workshop on Learning Statistical Models from Relational Data, pp. 79-86. [View Abstract] [View bibtex]

IR-305: (2003) McCallum, A. and Wellner, B., "Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference ," the Proceedings of the IJCAI Workshop on Information Integration on the Web. [View Abstract] [View bibtex]

IR-304: (2003) McCallum, A., "Efficiently Inducing Features of Conditional Random Fields ," the Proceedings of the Conference on Uncertainty Artificial Intelligence (UAI). [View Abstract] [View bibtex]

IR-303: (2003) McCallum, A. and Li, W., "Early Results for Named Entity Extraction with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons ," Proceeding of the Conference on Natural Language Learning (CoNLL 03), pp. 288-191. [View bibtex]

IR-276: (2003) Pinto, D.,  McCallum, A.,  Wei, X. and Croft, W. B. , "Table Extraction Using Conditional Random Fields," Proceedings of SIGIR 03 Conference, pp. 235-242. [View Abstract] [View bibtex]