| The CoNLL-2009 shared task: Syntactic and semantic dependencies in multiple languages J Hajic, M Ciaramita, R Johansson, D Kawahara, MA Martí, L Màrquez, ... Proceedings of the Thirteenth Conference on Computational Natural Language …, 2009 | 669 | 2009 |
| Ontology evaluation and validation: an integrated formal model for the quality diagnostic task A Gangemi, C Catenacci, M Ciaramita, J Lehmann On-line: http://www. loa-cnr. it/Files/OntoEval4OntoDev_Final. pdf, 2005 | 571* | 2005 |
| Learning to rank answers on large online QA collections M Surdeanu, M Ciaramita, H Zaragoza Proceedings of ACL-08: HLT, 719-727, 2008 | 309 | 2008 |
| Broad-coverage sense disambiguation and information extraction with a supersense sequence tagger M Ciaramita, Y Altun Proceedings of the 2006 Conference on Empirical Methods in Natural Language …, 2006 | 287 | 2006 |
| A framework for benchmarking entity-annotation systems M Cornolti, P Ferragina, M Ciaramita Proceedings of the 22nd international conference on World Wide Web, 249-260, 2013 | 271 | 2013 |
| Unsupervised learning of semantic relations between concepts of a molecular biology ontology M Ciaramita, A Gangemi, E Ratsch, J Saric, I Rojas Proceedings of the 19th international joint conference on Artificial …, 2005 | 220* | 2005 |
| Learning to rank answers to non-factoid questions from web collections M Surdeanu, M Ciaramita, H Zaragoza Computational linguistics 37 (2), 351-383, 2011 | 208 | 2011 |
| A theoretical framework for ontology evaluation and validation. A Gangemi, C Catenacci, M Ciaramita, J Lehmann SWAP 166, 16, 2005 | 192 | 2005 |
| On Identifiability in Transformers G Brunner, Y Liu, DP Ortiz, O Richter, M Ciaramita, R Wattenhofer ICLR, 2020 | 172 | 2020 |
| Ask the right questions: Active question reformulation with reinforcement learning C Buck, J Bulian, M Ciaramita, W Gajewski, A Gesmundo, N Houlsby, ... ICLR, 2018 | 171 | 2018 |
| Supersense tagging of unknown nouns in wordnet M Ciaramita, M Johnson Proceedings of the 2003 conference on Empirical methods in natural language …, 2003 | 155 | 2003 |
| Ranking very many typed entities on wikipedia H Zaragoza, H Rode, P Mika, J Atserias, M Ciaramita, G Attardi Proceedings of the sixteenth ACM conference on Conference on information and …, 2007 | 131 | 2007 |
| Topical clustering of search results U Scaiella, P Ferragina, A Marino, M Ciaramita Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 123 | 2012 |
| Online learning from click data for sponsored search M Ciaramita, V Murdock, V Plachouras Proceeding of the 17th international conference on World Wide Web, 227-236, 2008 | 119 | 2008 |
| Climate-fever: A dataset for verification of real-world climate claims T Diggelmann, J Boyd-Graber, J Bulian, M Ciaramita, M Leippold NeurIPS 2020 Workshop on Tackling Climate Change with Machine Learning, 2020 | 100 | 2020 |
| System and method for revising natural language parse trees G Attardi, M Ciaramita US Patent App. 11/716,518, 2008 | 96 | 2008 |
| Explaining away ambiguity: Learning verb selectional preference with Bayesian networks M Ciaramita, M Johnson Proceedings of the 18th conference on Computational linguistics-Volume 1 …, 2000 | 80 | 2000 |
| A noisy-channel approach to contextual advertising V Murdock, M Ciaramita, V Plachouras Proceedings of the 1st international workshop on Data mining and audience …, 2007 | 78 | 2007 |
| Method for selecting electronic advertisements using machine translation techniques V Murdock, M Ciaramita, V Plachouras US Patent 7,912,843, 2011 | 71 | 2011 |
| To swing or not to swing: learning when (not) to advertise A Broder, M Ciaramita, M Fontoura, E Gabrilovich, V Josifovski, D Metzler, ... Proceedings of the 17th ACM conference on information and knowledge …, 2008 | 71 | 2008 |
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