| Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007 | 1731 | 2007 |
| Using encyclopedic knowledge for named entity disambiguation R Bunescu, M Pasca | 1093 | 2006 |
| A shortest path dependency kernel for relation extraction R Bunescu, R Mooney Proceedings of Human Language Technology Conference and Conference on …, 2005 | 1031 | 2005 |
| Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques J Yi, T Nasukawa, R Bunescu, W Niblack Third IEEE international conference on data mining, 427-434, 2003 | 890 | 2003 |
| Subsequence kernels for relation extraction R Bunescu, RJ Mooney NIPS, 171-178, 2005 | 593 | 2005 |
| Comparative experiments on learning information extractors for proteins and their interactions R Bunescu, R Ge, RJ Kate, EM Marcotte, RJ Mooney, AK Ramani, ... Artificial intelligence in medicine 33 (2), 139-155, 2005 | 467 | 2005 |
| Falcon: Boosting knowledge for answer engines S Harabagiu, D Moldovan, M Pasca, R Mihalcea, M Surdeanu, ... TREC 9, 479-488, 2000 | 433 | 2000 |
| Mining knowledge from text using information extraction RJ Mooney, R Bunescu ACM SIGKDD explorations newsletter 7 (1), 3-10, 2005 | 406 | 2005 |
| Learning to extract relations from the web using minimal supervision R Bunescu, R Mooney Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007 | 329 | 2007 |
| Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome AK Ramani, RC Bunescu, RJ Mooney, EM Marcotte Genome biology 6 (5), 1-12, 2005 | 306 | 2005 |
| Learning to grade short answer questions using semantic similarity measures and dependency graph alignments M Mohler, R Bunescu, R Mihalcea Proceedings of the 49th annual meeting of the association for computational …, 2011 | 231 | 2011 |
| Multiple instance learning for sparse positive bags RC Bunescu, RJ Mooney Proceedings of the 24th international conference on Machine learning, 105-112, 2007 | 212 | 2007 |
| From word embeddings to document similarities for improved information retrieval in software engineering X Ye, H Shen, X Ma, R Bunescu, C Liu Proceedings of the 38th international conference on software engineering …, 2016 | 199 | 2016 |
| Learning to rank relevant files for bug reports using domain knowledge X Ye, R Bunescu, C Liu Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations …, 2014 | 198 | 2014 |
| Inferring causal molecular networks: empirical assessment through a community-based effort SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ... Nature methods 13 (4), 310-318, 2016 | 174 | 2016 |
| Collective Information Extraction with Relational Markov Networks. RC Bunescu, RJ Mooney ACL 10, 1218955.1219011, 2004 | 169 | 2004 |
| Answering complex, list and context questions with LCCRs Uuestion-Answering Server Sanda Harabagiu*, Dan Moldovan*, Marius Paçsca*, Mihai Surdeanu*, Rada Mihalcea, Roxana … F Lzaczatuçsu, P Morzarescu, R Bunescu | 133 | 2001 |
| The role of lexico-semantic feedback in open-domain textual question-answering S Harabagiu, D Moldovan, M Pasca, R Mihalcea, M Surdeanu, ... Proceedings of the 39th Annual Meeting of the Association for Computational …, 2001 | 130 | 2001 |
| Text and knowledge mining for coreference resolution S Harabagiu, R Bunescu, SJ Maiorano Second meeting of the North American chapter of the association for …, 2001 | 128 | 2001 |
| Method and system for extracting opinions from text documents J Yi, T Nasukawa, RC Bunescu US Patent 8,200,477, 2012 | 127 | 2012 |
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
