Samuel R. Bowman, Christopher Potts, and Christopher D. Manning. Recursive Neural Networks Can Learn Logical Semantics. arXiv manuscript 1406.1827. 2014.
Samuel R. Bowman, Christopher Potts, and Christopher D. Manning. Learning Distributed Word Representations for Natural Logic Reasoning. arXiv manuscript 1410.4176. 2014.
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.
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.
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.
Samuel Bowman. vector-entailment: A work-in-progress MATLAB toolkit for recursive neural networks for textual entailment. 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.