Schuler review materials
Papers: (Schuler's students in italics)
- William Schuler, Stephen Wu, Lane Schwartz. A Framework for Fast Incremental Interpretation during Speech Decoding. Computational Linguistics, 35(3)313–343, MIT Press, 2009.
- William Schuler, Samir Abdel-Rachman, Tim Miller, Lane Schwartz. Broad-Coverage Parsing using Human-Like Memory Constraints. Computational Linguistics, 36(1)1–30, MIT Press, 2010.
- Stephen Wu, Asaf Bachrach, Carlos Cardenas, William Schuler. Complexity Metrics in an Incremental Right-corner Parser. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL’10), pages 1189–1198, Uppsala, Sweden, Jul 2010
- Lane Schwartz, Chris Callison-Burch, William Schuler, Stephen Wu, Incremental Syntactic Language Models for Phrase-based Translation. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL- HLT’11), pages 620–631, Portland, OR, 2011
- Luan Nguyen, Marten van Schijndel, and William Schuler. Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars. Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), pages 2125–2140, Mumbai, India, 2012. Received ‘Best Research Paper’ award.
- Marten van Schijndel, Luan Nguyen, and William Schuler. An Analysis of Memory-based Processing Costs using Incremental Deep Syntactic Dependency Parsing. Proceedings of the 4th Workshop on Cognitive Modeling and Computational Linguistics (CMCL’13), Sofia, Bulgaria, 2013.
- William Schuler. Sentence Processing in a Vectorial Model of Working Memory. Proceedings of the 5th Workshop on Cognitive Modeling and Computational Linguistics (CMCL’14), Baltimore, Maryland, 2014.
- Marten van Schijndel and William Schuler. Hierarchic syntax improves reading time pre- diction. Proceedings of the North American Association for Computational Linguistics (NAACL’15) pages 1597–1605, Boulder, Colorado, 2015
- Marten van Schijndel, Brian Murphy and William Schuler. Evidence of syntactic working memory usage in MEG data. Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics (CMCL’15), Denver, Colorado, 2015.