| TOEFL11: A Corpus of Non-native English D Blanchard Educational Testing Service, 2013 | 284 | 2013 |
| A report on the first native language identification shared task J Tetreault, D Blanchard, A Cahill Proceedings of the eighth workshop on innovative use of NLP for building …, 2013 | 232 | 2013 |
| Investigating neural architectures for short answer scoring B Riordan, A Horbach, A Cahill, T Zesch, C Lee Proceedings of the 12th workshop on innovative use of NLP for building …, 2017 | 181 | 2017 |
| Long-distance dependency resolution in automatically acquired wide-coverage PCFG-based LFG approximations A Cahill, M Burke, R O’Donovan, J Van Genabith, A Way Proceedings of the 42nd Annual Meeting of the Association for Computational …, 2004 | 147 | 2004 |
| A report on the 2017 native language identification shared task S Malmasi, K Evanini, A Cahill, J Tetreault, R Pugh, C Hamill, ... Proceedings of the 12th Workshop on Innovative Use of NLP for Building …, 2017 | 122 | 2017 |
| Questionbank: Creating a corpus of parse-annotated questions J Judge, A Cahill, J Van Genabith Association for Computational Linguistics, 2006 | 122 | 2006 |
| Native tongues, lost and found: Resources and empirical evaluations in native language identification J Tetreault, D Blanchard, A Cahill, M Chodorow Proceedings of COLING 2012, 2585-2602, 2012 | 101 | 2012 |
| 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 | 100 | 2014 |
| Can characters reveal your native language? A language-independent approach to native language identification RT Ionescu, M Popescu, A Cahill Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 96 | 2014 |
| Modeling inflection and word-formation in SMT A Fraser, M Weller, A Cahill, F Cap Proceedings of the 13th Conference of the European Chapter of the …, 2012 | 83 | 2012 |
| Automatic annotation of the Penn-Treebank with LFG F-structure information A Cahill, M McCarthy, J Van Genabith, A Way | 72 | 2002 |
| Robust systems for preposition error correction using wikipedia revisions A Cahill, N Madnani, J Tetreault, D Napolitano Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 65 | 2013 |
| Robust PCFG-based generation using automatically acquired LFG approximations A Cahill, J Van Genabith Association for Computational Linguistics, 2006 | 62 | 2006 |
| Wide-coverage deep statistical parsing using automatic dependency structure annotation A Cahill, M Burke, R O'Donovan, S Riezler, J Van Genabith, A Way Computational Linguistics 34 (1), 81-124, 2008 | 61 | 2008 |
| Parsing with PCFGs and automatic f-structure annotation A Cahill, M McCarthy, J Van Genabith, A Way CSLI Publications, 2002 | 59 | 2002 |
| Large-scale induction and evaluation of lexical resources from the Penn-II and Penn-III Treebanks R O'Donovan, M Burke, A Cahill, J Genabith, A Way Computational Linguistics 31 (3), 329-366, 2005 | 57 | 2005 |
| Building better open-source tools to support fairness in automated scoring N Madnani, A Loukina, A Von Davier, J Burstein, A Cahill Proceedings of the first ACL workshop on ethics in natural language …, 2017 | 55 | 2017 |
| Reducing annotation efforts in supervised short answer scoring T Zesch, M Heilman, A Cahill Proceedings of the Tenth Workshop on Innovative Use of NLP for Building …, 2015 | 54 | 2015 |
| Automated scoring: Beyond natural language processing N Madnani, A Cahill Proceedings of the 27th International Conference on Computational …, 2018 | 48 | 2018 |
| String kernels for native language identification: Insights from behind the curtains RT Ionescu, M Popescu, A Cahill Computational Linguistics 42 (3), 491-525, 2016 | 47 | 2016 |
Josef van GenabithDFKI German Research Center for Artificial IntelligenceVerified email at dfki.de
