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I'm a PhD student in the Stanford NLP Group. I am interested in natural language processing and the cognition of language. Before I came to Stanford, I was at the School of Informatics of the University of Edinburgh, working with Frank Keller. Before that, I studied Mathematics and Computational Linguistics in Tübingen. Email: mhahn2@stanford.edu |
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| In Preparation | |
| Michael Hahn, Frank Keller, Modeling Task Effects in Human Reading with Neural Attention, In Preparation. [bibtex] [preprint] [code] | |
| 2022 | |
| Michael Hahn, Yang Xu, Crosslinguistic word order variation reflects evolutionary pressures of dependency and information locality, In Proceedings of the National Academy of Sciences of the United States of America, 2022. [bibtex] | |
| Songpeng Yan, Michael Hahn, Frank Keller, Modeling fixation behavior in reading with character-level neural attention, In Proceedings of the 44th Annual Meeting of the Cognitive Science Society (CogSci), 2022. [bibtex] | |
| Neil Rathi, Michael Hahn, Richard Futrell, Explaining patterns of fusion in morphological paradigms using the memory--surprisal tradeoff, In Proceedings of the 44th Annual Meeting of the Cognitive Science Society (CogSci), 2022. [bibtex] | |
| Michael Hahn, Rebecca Mathew, Judith Degen, Morpheme ordering across languages reflects optimization for processing efficiency, In Open Mind: Discoveries in Cognitive Science, vol. 5, pp. 208-232, 2022. [bibtex] [pdf] [doi] [code] [supplement] | |
| 2021 | |
| Neil Rathi, Michael Hahn, Richard Futrell, An Information-Theoretic Characterization of Morphological Fusion, In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Online and Punta Cana, Dominican Republic, pp. 10115-10120, 2021. [bibtex] [pdf] [code] | |
| Michael Hahn, Dan Jurafsky, Richard Futrell, Sensitivity as a Complexity Measure for Sequence Classification Tasks, In Transactions of the Association for Computational Linguistics, vol. 9, pp. 891-908, 2021. [bibtex] [pdf] [preprint] [code] [slides] | |
| Michael Hahn, Judith Degen, Richard Futrell, Modeling word and morpheme order in natural language as an efficient tradeoff of memory and surprisal, In Psychological Review, vol. 128, pp. 726-756, 2021. [bibtex] [pdf] [preprint] [doi] [code] [supplement] [slides] | |
| 2020 | |
| John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning, RNNs can generate bounded hierarchical languages with optimal memory, In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), pp. 1978-2010, 2020. [bibtex] [pdf] [preprint] [code] | |
| Michael Hahn, Dan Jurafsky, Richard Futrell, Universals of word order reflect optimization of grammars for efficient communication, In Proceedings of the National Academy of Sciences of the United States of America, vol. 117, pp. 2347-2353, 2020. [bibtex] [pdf] [code] [supplement] | |
| Michael Hahn, Theoretical Limitations of Self-Attention in Neural Sequence Models, In Transactions of the Association for Computational Linguistics, vol. 8, no. , pp. 156-171, 2020. [bibtex] [pdf] [preprint] [doi] [supplement] [slides] | |
| 2019 | |
| Michael Hahn, Marco Baroni, Tabula nearly rasa: Probing the linguistic knowledge of character-level neural language models trained on unsegmented text, In Transactions of the Association for Computational Linguistics, vol. 7, pp. 467-484, 2019. [bibtex] [pdf] [preprint] [code] | |
| Michael Hahn, Richard Futrell, Estimating Predictive Rate-Distortion Curves via Neural Variational Inference, In Entropy, vol. 21, no. 7, pp. 640, 2019. [bibtex] [pdf] [code] [reviews] | |
| Michael Hahn, Frank Keller, Yonatan Bisk, Yonatan Belinkov, Character-based Surprisal as a Model of Human Reading in the Presence of Errors, In Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci), 2019. [bibtex] [pdf] [preprint] [code] | |
| 2018 | |
| Michael Hahn, Judith Degen, Noah Goodman, Dan Jurafsky, and Richard Futrell, An information-theoretic explanation of adjective ordering preferences, In Proceedings of the 40th Annual Meeting of the Cognitive Science Society (CogSci), pp. 1766-1771, 2018. [bibtex] [pdf] [code] | |
| Michael Hahn, Andreas Krebs, Howard Straubing, Wreath Products of Distributive Forest Algebras, In Logic in Computer Science (LICS), 2018. [bibtex] [pdf] [preprint] [code] | |
| 2016 | |
| Michael Hahn, Frank Keller, Modeling Human Reading with Neural Attention, In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016. [bibtex] [pdf] [code] | |
| 2015 | |
| Michael Hahn, Andreas Krebs, Klaus-Jörn Lange, Michael Ludwig, Visibly Counter Languages and the Structure of NC1, In Proceedings of Mathematical Foundations of Computer Science (MFCS) 2015, 2015. [bibtex] [pdf] | |
| Michael Hahn, Frank Richter, Henkin Semantics for Reasoning with Natural Language, In Journal of Language Modeling, vol. 3, no. 2, pp. 513-568, 2015. [bibtex] [pdf] [code] | |
| 2014 | |
| Michael Hahn, Predication and NP Structure in an Omnipredicative Language: The Case of Khoekhoe, In Proceedings of the 21st International Conference on Head-Driven Phrase Structure Grammar (Stefan Müller, ed.), CSLI Publications, 2014. [bibtex] [pdf] | |
| Michael Hahn, Detmar Meurers, On deriving semantic representations from dependencies: A practical approach for evaluating meaning in learner corpora, In Dependency Theory (Kim Gerdes, Eva Hajicová, Leo Wanner, eds.), IOS Press, 2014. [bibtex] | |
| 2013 | |
| Niels Ott, Ramon Ziai, Michael Hahn, Detmar Meurers, CoMeT: Integrating different levels of linguistic modeling for meaning assessment, In Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval), pp. 608-616, 2013. [bibtex] [pdf] | |
| Michael Hahn, Word Order Variation in Khoekhoe, In Proceedings of the 20th International Conference on Head-Driven Phrase Structure Grammar (Stefan Müller, ed.), pp. 48-68, 2013. [bibtex] [pdf] | |
| 2012 | |
| Michael Hahn, Detmar Meurers, Evaluating the Meaning of Answers to Reading Comprehension Questions: A Semantics-Based Approach, In Proceedings of the 7th Workshop on Innovative Use of NLP for Building Educational Applications (BEA7), Association for Computational Linguistics, 2012. [bibtex] [pdf] | |
| Michael Hahn, Arabic Relativization Patterns: A Unified HPSG Analysis, In Proceedings of the 19th International Conference on Head-Driven Phrase Structure Grammar, Chungnam National University Daejeon, 2012. [bibtex] [pdf] | |
| 2011 | |
| Michael Hahn, Null Conjuncts and Bound Pronouns in Arabic, In The Proceedings of the 18th International Conference on Head-Driven Phrase Structure Grammar, 2011. [bibtex] | |
| Michael Hahn, Detmar Meurers, On deriving semantic representations from dependencies: A practical approach for evaluating meaning in learner corpora, In Proceedings of the Int. Conference on Dependency Linguistics (Depling 2011), pp. 94-103, 2011. [bibtex] [pdf] | |
| 2021 | |
| [2] | Sensitivity as a Complexity Measure for Sequence Classification Tasks, Empirical Methods in Natural Language Processing (EMNLP) (work with Dan Jurafsky and Richard Futrell). [slides] |
| [1] | An Information-Theoretic Explanation of Adjective Ordering Preferences, TExMod2020: Theoretical and Experimental Approaches to Modification. Tübingen, Germany (invited). [slides] |
| 2020 | |
| [3] | Theoretical Limitations of Self-Attention in Neural Sequence Models , 58th Annual Meeting of the Association for Computational Linguistics, 2020. [slides] |
| [2] | Tabula nearly rasa: Probing the linguistic knowledge of character-level neural language models trained on unsegmented text , 58th Annual Meeting of the Association for Computational Linguistics, 2020. |
| [1] | Lexical Effects in Structural Forgetting: Evidence for Experience-Based Accounts and a Neural Network Model , 33rd Annual CUNY Human Sentence Processing Conference, 2020 (oral). [slides][abstract] |
| 2019 | |
| [3] | Character-based Surprisal as a Model of Human Reading in the Presence of Errors , 41st Annual Meeting of the Cognitive Science Society (CogSci), 2019 (oral). [slides] |
| [2] | Crosslinguistic word orders enable an efficient tradeoff of memory and surprisal , 32nd Annual CUNY Conference on Human Sentence Processing, 2019 (oral, 7% acceptance). [slides] |
| [1] | Testing Functional Explanations of Word Order Universals , 32nd Annual CUNY Conference on Human Sentence Processing, 2019 (oral, 7% acceptance). [slides] |
| 2018 | |
| [4] | Testing Functional Explanations of Word Order Universals , California Meeting on Psycholinguistics, 2018. [slides] |
| [3] | An information-theoretic explanation of adjective ordering preferences , CogSci, 2018. [poster] |
| [2] | Wreath Products of Distributive Forest Algebras , LICS, 2018. [slides] |
| [2] | Mutual Information Impacts Adjective Ordering Across Languages , CUNY, 2018. [poster] |
| [1] | Exploring Adjective Ordering Preferences via Artificial Language Learning , CUNY, 2018. [poster] |
| 2017 | |
| [2] | Exploring Adjective Ordering Preferences via Artificial Language Learning , California Meeting on Psycholinguistics, 2017. |
| [1] | Modeling Task Effects in Human Reading with Neural Attention , CUNY, 2017. [slides] |
| 2016 | |
| [1] | Modeling Human Reading with Neural Attention , EMNLP, 2016. [slides] |
Vowels in Proto-Modern South Arabian (2012)
This manuscript presents some preliminary ideas regarding the reconstruction of Proto-Modern South Arabian, which is of interest for the reconstruction of Proto-Semitic as a whole. A more thorough analysis will have to wait for a comprehensive documentation of Soqotri, Hobyot, and of dialectal variation within the better-documented languages Mehri and Jibbali.