Publications &c.

Papers of all sorts

Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. A large annotated corpus for learning natural language inference (corpus page). Proceedings of EMNLP. 2015. Best New Data Set or Resource Award.

Samuel R. Bowman, Christopher D. Manning, and Christopher Potts. Tree-structured composition in neural networks without tree-structured architectures. arXiv manuscript 1506.04834. 2015.

Samuel R. Bowman, Christopher Potts, and Christopher D. Manning. Recursive Neural Networks Can Learn Logical Semantics. (MATLAB source code and data, poster) Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality. 2015.

Samuel R. Bowman, Christopher Potts, and Christopher D. Manning. Learning Distributed Word Representations for Natural Logic Reasoning. Proceedings of the AAAI Spring Symposium on Knowledge Representation and Reasoning. 2015.

Natalia Silveira, Timothy Dozat, Marie-Catherine de Marneffe, Samuel R. Bowman, Miriam Connor, John Bauer, and Christopher D. Manning. A Gold Standard Dependency Corpus for English. Proceedings of LREC 9. 2014.

Samuel R. Bowman. Can recursive neural tensor networks learn logical reasoning? (MATLAB source code and data) arXiv manuscript 1312.6192. Presented at ICLR '14. 2014.

Samuel R. Bowman. Idiosyncratic transparent vowels in Kazakh. Proceedings of the 2013 Meeting on Phonology, presentations at Berkeley Phorum and WAFL 9. 2013. A typo in (39) in the published version is corrected here.

Marie-Catherine de Marneffe, Miriam Connor, Natalia Silveira, Samuel R. Bowman, Timothy Dozat and Christopher D. Manning. More constructions, more genres: Extending Stanford Dependencies. Proceedings of DepLing. 2013.

Samuel R. Bowman. Two arguments for vowel harmony by trigger competition. Proceedings of CLS 49, and presentations at Edinburgh P-Workshop and 21mfm. 2013.

Samuel R. Bowman. Two arguments for a positive vowel harmony imperative. Qualifying paper, Department of Linguistics, Stanford University. 2013.

Samuel R. Bowman. Seto vowel harmony and neutral vowels (poster). Presentation at LSA 86. 2013.

Robert Podesva, Annette D'Onofrio, Eric Acton, Sam Bowman, Jeremy Calder, Hsin-Chang Chen, Benjamin Lokshin, and Janneke Van Hofwegen. Linguistic and social effects on perceptions of voice onset time in Korean stops (abstract). Presentation at ASA 164. 2012.

Samuel R. Bowman and Harshit Chopra. Automatic animacy classification (poster). Proceedings of The NAACL-HLT Student Research Workshop. 2012.

Richard Futrell and Samuel R. Bowman. Measuring amok. Unpublished ms., from Stanford's Natural Language Understanding course. 2012.

Samuel R. Bowman. Vowel varmony, opacity, and finite-state OT. M.A. Thesis, The University of Chicago. 2011. (published as a technical report by the Department of Computer Science)

Geoffrey Zweig, Les Atlas, Kris Demuynck, Fei Sha, Patrick Nguyen, Dirk van Compernolle, Damianos Karakos, Pascal Clark, Meihong Wang, Gregory Sell, Samuel Thomas, Samuel Bowman and Justine Kao. Speech recognition with segmental conditional random fields: A summary of the JHU CLSP 2010 Summer Workshop. Proceedings of ICASSP 36. IEEE. 2011.

Samuel R. Bowman and Karen Livescu. Modeling pronunciation variation with context-dependent articulatory feature decision trees.. Proceedings of Interspeech. 2010.

An aside: My Erdős number is 4, both by way of Karen Livescu, Kamalika Chaudhuri, and Fan Chung, and also by way of Chris Manning, Val Spitkovsky, and Daniel Kleitman.

Other miscellany

Samuel Bowman. Computational linguistics (slides). Guest lecture for an introductory linguistics class with Asya Pereltsvaig. 2015.

Samuel Bowman. Neural networks for natural language understanding (slides, 2014 slides). Guest lecture for Chris Potts and Bill MacCartney's computational natural language understanding class. 2015.

Samuel Bowman. vector-entailment: A work-in-progress MATLAB toolkit for recursive neural networks for textual entailment. 2015.

Samuel Bowman. Transparent vowels in ABC: open issues (handout). Invited talk at the first Conference on Agreement by Correspondence (ABC↔C). 2014.

Samuel Bowman. Computational Linguistics, Corpora, and NLP (handout). Guest lecture for an introductory linguistics class with Asya Pereltsvaig; assumes slight prior knowledge of NLP. 2013.

Samuel Bowman. Squib draft: Sour grapes harmony and the Agree constraint. 2012.

Samuel Bowman. Course paper for Metrics with Paul Kiparsky: Automatic Parsing for Shakespearean Meters. 2011.

Jason Riggle, Max Bane, and Samuel Bowman. PyPhon. (A software package for finite-state Optimality Theory. A work in progress.)

Samuel Bowman. Tutorial: Building OT Grammars in PyPhon (slides). Presentation at the Stanford P-Interest Workshop. 2012.