| Bloomberggpt: A large language model for finance S Wu, O Irsoy, S Lu, V Dabravolski, M Dredze, S Gehrmann, P Kambadur, ... arXiv preprint arXiv:2303.17564, 2023 | 656 | 2023 |
| Unsupervised personal name disambiguation G Mann, D Yarowsky Proceedings of the seventh conference on Natural language learning at HLT …, 2003 | 484 | 2003 |
| Distributed training strategies for the structured perceptron R McDonald, K Hall, G Mann Human language technologies: The 2010 annual conference of the North …, 2010 | 389 | 2010 |
| Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models. G Mann, RT McDonald, M Mohri, N Silberman, D Walker NIPS 22, 1231-1239, 2009 | 361* | 2009 |
| Learning from labeled features using generalized expectation criteria G Druck, G Mann, A McCallum Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 332 | 2008 |
| Efficient transfer learning method for automatic hyperparameter tuning D Yogatama, G Mann Artificial intelligence and statistics, 1077-1085, 2014 | 259 | 2014 |
| Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data. GS Mann, A McCallum Journal of machine learning research 11 (2), 2010 | 253 | 2010 |
| Simple, robust, scalable semi-supervised learning via expectation regularization GS Mann, A McCallum Proceedings of the 24th international conference on Machine learning, 593-600, 2007 | 225 | 2007 |
| Multipath translation lexicon induction via bridge languages G Mann, D Yarowsky Second Meeting of the North American Chapter of the Association for …, 2001 | 207 | 2001 |
| Video content analysis for automatic demographics recognition of users and videos C Cortes, S Kumar, A Makadia, G Mann, J Yagnik, M Zhao US Patent App. 12/392,987, 2010 | 161 | 2010 |
| Bibliometric impact measures leveraging topic analysis D Mimno, A McCallum, GS Mann Digital Libraries, Joint Conference on, 65-74, 2006 | 159 | 2006 |
| Analyses for elucidating current question answering technology M Light, GS Mann, E Riloff, E Breck Natural Language Engineering 7 (4), 325-342, 2001 | 156 | 2001 |
| Generalized expectation criteria for semi-supervised learning of conditional random fields GS Mann, A McCallum Proceedings of ACL-08: HLT, 870-878, 2008 | 154 | 2008 |
| Combining predictive models in predictive analytical modeling WH Lin, TH Green, R Kaplow, G Fu, GS Mann US Patent 8,370,280, 2013 | 142 | 2013 |
| Fine-grained proper noun ontologies for question answering G Mann COLING-02: SEMANET: Building and Using Semantic Networks, 2002 | 121 | 2002 |
| Hiring algorithms are not neutral G Mann, C O’Neil Harvard Business Review 9, 2016, 2016 | 118 | 2016 |
| Predictive analytical model matching WH Lin, THK Green, R Kaplow, G Fu, GS Mann US Patent 8,311,967, 2012 | 117 | 2012 |
| Dynamic predictive modeling platform JM Breckenridge, T Green, R Kaplow, WH Lin, GS Mann US Patent 8,595,154, 2013 | 115 | 2013 |
| Bootstrapping toponym classifiers DA Smith, G Mann Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic …, 2003 | 113 | 2003 |
| Predictive model importation WH Lin, THK Green, R Kaplow, G Fu, GS Mann US Patent App. 10/157,343, 2018 | 104* | 2018 |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
