Active learning with feedback on features and instances H Raghavan, O Madani, R Jones The Journal of Machine Learning Research 7, 1655-1686, 2006 | 278 | 2006 |
Deep analysis of natural language questions for question answering system V Castelli, R Florian, X Luo, S Maskey, H Raghavan US Patent 9,471,559, 2016 | 236 | 2016 |
A sentence compression based framework to query-focused multi-document summarization L Wang, H Raghavan, V Castelli, R Florian, C Cardie arXiv preprint arXiv:1606.07548, 2016 | 153 | 2016 |
Improving ad relevance in sponsored search D Hillard, S Schroedl, E Manavoglu, H Raghavan, C Leggetter Proceedings of the third ACM international conference on Web search and data …, 2010 | 152 | 2010 |
Using part-of-speech patterns to reduce query ambiguity J Allan, H Raghavan Proceedings of the 25th annual international ACM SIGIR conference on …, 2002 | 127 | 2002 |
Predicting selection rates of a document using click-based translation dictionaries R Iyer, H Raghavan US Patent App. 12/176,264, 2010 | 100 | 2010 |
An interactive algorithm for asking and incorporating feature feedback into support vector machines H Raghavan, J Allan Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 95 | 2007 |
InterActive Feature Selection. H Raghavan, O Madani, R Jones IJCAI 5, 841-846, 2005 | 87 | 2005 |
Discovering users' specific geo intention in web search X Yi, H Raghavan, C Leggetter Proceedings of the 18th international conference on World wide web, 481-490, 2009 | 86 | 2009 |
Learning to rank for robust question answering A Agarwal, H Raghavan, K Subbian, P Melville, RD Lawrence, ... Proceedings of the 21st ACM international conference on Information and …, 2012 | 84 | 2012 |
UMass at TDT 2004 M Connell, A Feng, G Kumaran, H Raghavan, C Shah, J Allan Topic Detection and Tracking Workshop Report 19, 2004 | 82 | 2004 |
Ad Relevance In Sponsored Search D Hillard, H Raghavan, E Manavoglu, C Leggetter, S Schroedl US Patent App. 12/769,446, 2011 | 70 | 2011 |
Sweg: Lossless and lossy summarization of web-scale graphs K Shin, A Ghoting, M Kim, H Raghavan The World Wide Web Conference, 1679-1690, 2019 | 62 | 2019 |
An exploration of entity models, collective classification and relation description H Raghavan, J Allan, A McCallum KDD Workshop on Link Analysis and Group Detection, 1-10, 2004 | 62 | 2004 |
Query-focused opinion summarization for user-generated content L Wang, H Raghavan, C Cardie, V Castelli arXiv preprint arXiv:1606.05702, 2016 | 55 | 2016 |
Interactive Clustering of Text Collections According to a User-Specified Criterion. R Bekkerman, H Raghavan, J Allan, K Eguchi IJCAI 7, 684-689, 2007 | 51 | 2007 |
System and method for automatically detecting and interactively displaying information about entities, activities, and events from multiple-modality natural language sources V Castelli, R Florian, X Luo, H Raghavan US Patent App. 13/543,157, 2014 | 50 | 2014 |
System and method to identify context-dependent term importance of queries for predicting relevant search advertisements R Iyer, E Manavoglu, H Raghavan US Patent App. 12/626,894, 2011 | 49 | 2011 |
A collaborative filtering approach to ad recommendation using the query-ad click graph T Anastasakos, D Hillard, S Kshetramade, H Raghavan Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 46 | 2009 |
Using soundex codes for indexing names in ASR documents H Raghavan, J Allan Proceedings of the Workshop on Interdisciplinary Approaches to Speech …, 2004 | 46 | 2004 |