| Evaluating the meaning of answers to reading comprehension questions: A semantics-based approach M Hahn, D Meurers Proceedings of the Seventh Workshop on Building Educational Applications …, 2012 | 37 | 2012 |
| Modeling human reading with neural attention M Hahn, F Keller arXiv preprint arXiv:1608.05604, 2016 | 36 | 2016 |
| An Information-Theoretic Explanation of Adjective Ordering Preferences. M Hahn, J Degen, ND Goodman, D Jurafsky, R Futrell CogSci, 2018 | 29 | 2018 |
| CoMeT: Integrating different levels of linguistic modeling for meaning assessment N Ott, R Ziai, M Hahn, D Meurers Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013 | 25 | 2013 |
| Universals of word order reflect optimization of grammars for efficient communication M Hahn, D Jurafsky, R Futrell Proceedings of the National Academy of Sciences 117 (5), 2347-2353, 2020 | 22 | 2020 |
| Theoretical limitations of self-attention in neural sequence models M Hahn Transactions of the Association for Computational Linguistics 8, 156-171, 2020 | 21 | 2020 |
| Tabula Nearly Rasa: Probing the Linguistic Knowledge of Character-level Neural Language Models Trained on Unsegmented Text M Hahn, M Baroni Transactions of the Association for Computational Linguistics 7, 467-484, 2019 | 8 | 2019 |
| Estimating Predictive Rate–Distortion Curves via Neural Variational Inference M Hahn, R Futrell Entropy 21 (7), 640, 2019 | 5 | 2019 |
| Modeling task effects in human reading with neural attention M Hahn, F Keller arXiv preprint arXiv:1808.00054, 2018 | 5 | 2018 |
| Visibly Counter Languages and the Structure of M Hahn, A Krebs, KJ Lange, M Ludwig International Symposium on Mathematical Foundations of Computer Science, 384-394, 2015 | 5 | 2015 |
| Word order variation in Khoekhoe M Hahn Proceedings of the 20th International Conference on Head-Driven Phrase …, 2013 | 4 | 2013 |
| Arabic Relativization Patterns: A Unified HPSG Analysis M Hahn Proceedings of the 19th International Conference on Head-Driven Phrase …, 2012 | 3 | 2012 |
| RNNs can generate bounded hierarchical languages with optimal memory J Hewitt, M Hahn, S Ganguli, P Liang, CD Manning arXiv preprint arXiv:2010.07515, 2020 | 2 | 2020 |
| Modeling word and morpheme order in natural language as an efficient tradeoff of memory and surprisal M Hahn, J Degen, R Futrell PsyArXiv, 2020 | 2 | 2020 |
| Proto-Modern South Arabian vowels–A first approximation M Hahn Unpublished ms, 2012 | 2 | 2012 |
| Null conjuncts and bound pronouns in Arabic M Hahn Proceedings of the 18th international conference on Head-Driven Phrase …, 2011 | 2 | 2011 |
| Crosslinguistic Word Orders Enable an Efficient Tradeoff of Memory and Surprisal M Hahn, R Futrell Proceedings of the Society for Computation in Linguistics 2020, 85-86, 2020 | 1 | 2020 |
| Characterbased surprisal as a model of human reading in the presence of errors M Hahn, F Keller, Y Bisk, Y Belinkov arXiv preprint arXiv:1902.00595, 2019 | 1 | 2019 |
| Henkin semantics for reasoning with natural language M Hahn, F Richter Journal of Language Modelling 3, 2015 | 1 | 2015 |
| CoMeT: Integrating different levels of linguistic modeling for meaning assessment M Hahn, N Ott, R Ziai, D Meurers | 1 | 2013 |
