| Systems and methods for determining lexical associations among words in a corpus M Flor, BB Klebanov US Patent 9,519,634, 2016 | 249 | 2016 |
| Metaphor: A computational perspective T Veale, E Shutova, BB Klebanov Springer Nature, 2022 | 158 | 2022 |
| Learning with annotation noise E Beigman, BB Klebanov Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009 | 144 | 2009 |
| Lexical cohesion analysis of political speech BB Klebanov, D Diermeier, E Beigman Political Analysis 16 (4), 447-463, 2008 | 122 | 2008 |
| Text simplification for information-seeking applications B Beigman Klebanov, K Knight, D Marcu OTM Confederated International Conferences" On the Move to Meaningful …, 2004 | 122 | 2004 |
| Applying Argumentation Schemes to Essay Scoring Y Song, M Heilman, B Beigman Klebanov, P Deane Proceedings of the First Workshop on Argumentation Mining, 69--78, 2014 | 115 | 2014 |
| Squibs: From annotator agreement to noise models BB Klebanov, E Beigman Computational Linguistics 35 (4), 495-503, 2009 | 99 | 2009 |
| A report on the 2018 VUA metaphor detection shared task CW Leong, BB Klebanov, E Shutova Proceedings of the workshop on figurative language processing, 56-66, 2018 | 85 | 2018 |
| Semantic classifications for detection of verb metaphors BB Klebanov, CW Leong, ED Gutierrez, E Shutova, M Flor Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 81 | 2016 |
| Automated evaluation of writing–50 years and counting BB Klebanov, N Madnani Proceedings of the 58th annual meeting of the association for computational …, 2020 | 76 | 2020 |
| A report on the 2020 VUA and TOEFL metaphor detection shared task CW Leong, BB Klebanov, C Hamill, E Stemle, R Ubale, X Chen Proceedings of the second workshop on figurative language processing, 18-29, 2020 | 75 | 2020 |
| Different texts, same metaphors: Unigrams and beyond BB Klebanov, B Leong, M Heilman, M Flor Proceedings of the Second Workshop on Metaphor in NLP, 11-17, 2014 | 71 | 2014 |
| Word association profiles and their use for automated scoring of essays BB Klebanov, M Flor Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 59 | 2013 |
| Lexical tightness and text complexity M Flor, BB Klebanov, KM Sheehan Proceedings of the workshop on natural language processing for improving …, 2013 | 59 | 2013 |
| Reflective writing about the utility value of science as a tool for increasing STEM motivation and retention–can AI help scale up? B Beigman Klebanov, J Burstein, JM Harackiewicz, SJ Priniski, ... International Journal of Artificial Intelligence in Education 27 (4), 791-818, 2017 | 58 | 2017 |
| Supervised word-level metaphor detection: Experiments with concreteness and reweighting of examples BB Klebanov, CW Leong, M Flor Proceedings of the Third Workshop on Metaphor in NLP, 11-20, 2015 | 51 | 2015 |
| Reader-based exploration of lexical cohesion B Beigman Klebanov, E Shamir Language Resources and evaluation 41 (1), 27-44, 2007 | 51 | 2007 |
| Writing mentor: Writing progress using self-regulated writing support J Burstein, N Elliot, BB Klebanov, N Madnani, D Napolitano, M Schwartz, ... Journal of Writing Analytics 2, 285-313, 2018 | 50 | 2018 |
| Content Importance Models for Scoring Writing from Sources B Beigman Klebanov, N Madnani, J Burstein, S Somasundaran Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 48 | 2014 |
| Analyzing disagreements BB Klebanov, E Beigman, D Diermeier Coling 2008: Proceedings of the workshop on Human Judgements in …, 2008 | 44 | 2008 |
Michael FlorEducational Testing ServiceVerified email at ets.org
