| Author disambiguation using error-driven machine learning with a ranking loss function A Culotta, P Kanani, R Hall, M Wick, A McCallum Sixth International Workshop on Information Integration on the Web (IIWeb-07 …, 2007 | 116 | 2007 |
| Improving Author Coreference by Resource-Bounded Information Gathering from the Web. PH Kanani, A McCallum, C Pal IJCAI 7, 429-434, 2007 | 101 | 2007 |
| How good is a span of terms? Exploiting proximity to improve web retrieval KM Svore, PH Kanani, N Khan Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010 | 58 | 2010 |
| Prediction-time active feature-value acquisition for cost-effective customer targeting P Kanani, P Melville Advances In Neural Information Processing Systems (NIPS), 2008 | 57 | 2008 |
| Minimally-constrained multilingual embeddings via artificial code-switching M Wick, P Kanani, A Pocock Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 33 | 2016 |
| Selecting actions for resource-bounded information extraction using reinforcement learning PH Kanani, AK McCallum Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 29 | 2012 |
| Efficient strategies for improving partitioning-based author coreference by incorporating Web pages as graph nodes P Kanani, A McCallum Proceedings of AAAI 2007 workshop on information integration on the Web, 38-43, 2007 | 23 | 2007 |
| Private federated learning with domain adaptation D Peterson, P Kanani, VJ Marathe arXiv preprint arXiv:1912.06733, 2019 | 18 | 2019 |
| Multilingual embeddings for natural language processing ML Wick, PH Kanani, AC Pocock US Patent 9,779,085, 2017 | 17 | 2017 |
| Resource-bounded information gathering for correlation clustering P Kanani, A McCallum International Conference on Computational Learning Theory, 625-627, 2007 | 14 | 2007 |
| Character-based attribute value extraction system PH Kanani, ML Wick, AC Pocock US Patent App. 14/700,683, 2016 | 6 | 2016 |
| Resource-bounded information extraction: Acquiring missing feature values on demand P Kanani, A McCallum, S Hu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 415-427, 2010 | 6 | 2010 |
| Multi-dimensional approach to agent assignment D Allison, D Gulsen, VCW Chan, AC Pocock, P Kanani, D Greenberg US Patent App. 14/804,496, 2017 | 4 | 2017 |
| Attribute extraction from noisy text using character-based sequence tagging models P Kanani, W Michael, P Adam Machine Learning for eCommerce workshop, NIPS, 2015 | 3 | 2015 |
| Report on the first hipstir workshop on the future of information retrieval L Dietz, B Mitra, J Pickens, H Anber, S Avula, A Biega, A Boteanu, ... ACM Sigir forum 53 (2), 62-75, 2021 | 2 | 2021 |
| Resource-bounded information acquisition and learning PH Kanani MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2012 | 2 | 2012 |
| Learning to select actions for resource-bounded information extraction P Kanani, A McCallum UMass CS Tech. Report UM-CS-2011-042, 2011 | 1 | 2011 |
| Dynamic Branch Prediction using Machine Learning Algorithms K Bellare, P Kanani, S Sen Mar, 2006 | 1 | 2006 |
| Using Bayes Factors to Control for Fairness Case Study on Learning To Rank S Panda, JB Tristan, M Wick, H Mahmoudian, P Kanani | 1 | |
| Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions P Kanani, VJ Marathe, D Peterson, R Harpaz, S Bright arXiv preprint arXiv:2103.07491, 2021 | | 2021 |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
