Part-of-speech tagging for twitter: Annotation, features, and experiments K Gimpel, N Schneider, B O’connor, D Das, DP Mills, J Eisenstein, ... Proceedings of the 49th annual meeting of the Association for Computational …, 2011 | 1341 | 2011 |
Good question! statistical ranking for question generation M Heilman, NA Smith Human language technologies: The 2010 annual conference of the North …, 2010 | 582 | 2010 |
Tree edit models for recognizing textual entailments, paraphrases, and answers to questions M Heilman, NA Smith Human Language Technologies: The 2010 Annual Conference of the North …, 2010 | 350 | 2010 |
Combining lexical and grammatical features to improve readability measures for first and second language texts M Heilman, K Collins-Thompson, J Callan, M Eskenazi Human language technologies 2007: the conference of the North American …, 2007 | 298 | 2007 |
Automatic factual question generation from text M Heilman Carnegie Mellon University, 2011 | 291 | 2011 |
An analysis of statistical models and features for reading difficulty prediction M Heilman, K Collins-Thompson, M Eskenazi Proceedings of the third workshop on innovative use of NLP for building …, 2008 | 199 | 2008 |
Question generation via overgenerating transformations and ranking M Heilman, NA Smith DTIC Document, 2009 | 197 | 2009 |
Validation of automated scoring of science assessments OL Liu, JA Rios, M Heilman, L Gerard, MC Linn Journal of Research in Science Teaching 53 (2), 215-233, 2016 | 165 | 2016 |
Extracting simplified statements for factual question generation M Heilman, NA Smith Proceedings of QG2010: The Third Workshop on Question Generation, 11-20, 2010 | 102 | 2010 |
Applying argumentation schemes for essay scoring Y Song, M Heilman, BB Klebanov, P Deane Proceedings of the first workshop on argumentation mining, 69-78, 2014 | 101 | 2014 |
ETS: Domain adaptation and stacking for short answer scoring M Heilman, N Madnani Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013 | 100 | 2013 |
Classroom success of an intelligent tutoring system for lexical practice and reading comprehension. M Heilman, K Collins-Thompson, J Callan, M Eskenazi INTERSPEECH, 2006 | 98 | 2006 |
Predicting grammaticality on an ordinal scale M Heilman, A Cahill, N Madnani, M Lopez, M Mulholland, J Tetreault Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 94 | 2014 |
Predicting a scientific community’s response to an article D Yogatama, M Heilman, B O’Connor, C Dyer, BR Routledge, NA Smith Proceedings of the 2011 conference on empirical methods in natural language …, 2011 | 88 | 2011 |
A selection strategy to improve cloze question quality J Pino, M Heilman, M Eskenazi Proceedings of the Workshop on Intelligent Tutoring Systems for Ill-Defined …, 2008 | 83 | 2008 |
Effective feature integration for automated short answer scoring K Sakaguchi, M Heilman, N Madnani Proceedings of the 2015 conference of the North American Chapter of the …, 2015 | 77 | 2015 |
Personalization of reading passages improves vocabulary acquisition M Heilman, K Collins-Thompson, J Callan, M Eskenazi, A Juffs, L Wilson International Journal of Artificial Intelligence in Education 20 (1), 73-98, 2010 | 77 | 2010 |
Identifying high-level organizational elements in argumentative discourse N Madnani, M Heilman, J Tetreault, M Chodorow Proceedings of the 2012 Conference of the North American Chapter of the …, 2012 | 76 | 2012 |
Managing what we can measure: Quantifying the susceptibility of automated scoring systems to gaming behavior D Higgins, M Heilman Educational Measurement: Issues and Practice 33 (3), 36-46, 2014 | 71 | 2014 |
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 |