Systems and methods for determining lexical associations among words in a corpus M Flor, BB Klebanov US Patent 9,519,634, 2016 | 224 | 2016 |
The TextEvaluator tool: Helping teachers and test developers select texts for use in instruction and assessment KM Sheehan, I Kostin, D Napolitano, M Flor The Elementary School Journal 115 (2), 184-209, 2014 | 108 | 2014 |
Generating automated text complexity classifications that are aligned with targeted text complexity standards KM Sheehan, I Kostin, Y Futagi, M Flor ETS Research Report Series 2010 (2), i-44, 2010 | 90 | 2010 |
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 | 75 | 2016 |
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 | 72 | 2014 |
A Semantic Role-based Approach to Open-Domain Automatic Question Generation M Flor, B Riordan Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building …, 2018 | 59 | 2018 |
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 | 55 | 2013 |
Automated classification of collaborative problem solving interactions in simulated science tasks M Flor, SY Yoon, J Hao, L Liu, AA von Davier Proceedings of the 11th Workshop on Innovative Use of NLP for Building …, 2016 | 52 | 2016 |
Systems and methods for optimizing very large n-gram collections for speed and memory M Flor US Patent 8,572,126, 2013 | 51 | 2013 |
Lexical tightness and text complexity M Flor, BB Klebanov, KM Sheehan Proceedings of the Workshop on Natural Language Processing for Improving …, 2013 | 51 | 2013 |
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 | 49 | 2015 |
On using context for automatic correction of non-word misspellings in student essays M Flor, Y Futagi Proceedings of the seventh workshop on building educational applications …, 2012 | 47 | 2012 |
A two-stage approach for generating unbiased estimates of text complexity KM Sheehan, M Flor, D Napolitano Proceedings of the Workshop on Natural Language Processing for Improving …, 2013 | 46 | 2013 |
Four types of context for automatic spelling correction M Flor Traitement Automatique des Langues 53 (3), 61-99, 2012 | 46 | 2012 |
Towards Evaluating Narrative Quality In Student Writing S Somasundaran, M Flor, M Chodorow, H Molloy, B Gyawali, L McCulla Transactions of the Association for Computational Linguistics 6, 91–106, 2018 | 40 | 2018 |
CPS‐Rater: Automated Sequential Annotation for Conversations in Collaborative Problem‐Solving Activities J Hao, L Chen, M Flor, L Liu, AA von Davier ETS Research Report Series 2017 (1), 1-9, 2017 | 39 | 2017 |
On the vulnerability of automated scoring to construct-irrelevant response strategies (CIRS): An illustration II Bejar, M Flor, Y Futagi, C Ramineni Assessing Writing 22, 48-59, 2014 | 34 | 2014 |
Is getting the right answer just about choosing the right words? The role of syntactically-informed features in short answer scoring D Higgins, C Brew, M Heilman, R Ziai, L Chen, A Cahill, M Flor, ... arXiv preprint arXiv:1403.0801, 2014 | 33* | 2014 |
Argumentation-relevant metaphors in test-taker essays BB Klebanov, M Flor Proceedings of the First Workshop on Metaphor in NLP, 11-20, 2013 | 33 | 2013 |
A Benchmark Corpus of English Misspellings and a Minimally-supervised Model for Spelling Correction M Flor, M Fried, A Rozovskaya Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building …, 2019 | 30 | 2019 |