Semi-supervised Learning for Phenotyping Tasks
Dligach, Dmitriy, Timothy Miller, and Guergana K. Savova. 2015. “Semi-Supervised Learning for Phenotyping Tasks”. In AMIA Annual Symposium Proceedings.
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Extracting Time Expressions from Clinical Text
Miller, Bethard, Dligach, Lin, and Savova. 2015. “Extracting Time Expressions from Clinical Text”. In Proceedings of the 2015 Workshop on Biomedical Natural Language Processing (BioNLP 2015)Workshop on Biomedical Natural Language Processing.
Descending-Path Convolution Kernel for Syntactic Structures
Lin, Chen, Timothy Miller, Alvin Kho, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, and Guergana Savova. 2014. “Descending-Path Convolution Kernel for Syntactic Structures”. Acl 1: 81–86.
A system for coreference resolution for the clinical narrative
Zheng, Jiaping, Wendy Chapman, Timothy Miller, Chen Lin, Rebecca Crowley, and Guergana Savova. 2012. “A System for Coreference Resolution for the Clinical Narrative”. Journal of the American Medical Informatics Association 19 (4): 660–667.
Broad-Coverage Incremental Parsing using Human-Like Memory Constraints
Schuler, William, Samir AbdelRahman, Tim Miller, and Lane Schwartz. 2010. “Broad-Coverage Incremental Parsing Using Human-Like Memory Constraints”. Computational Linguistics 36 (1): 1–30.
Improved Syntactic Models for Parsing Speech with Repairs ∗
Miller, Tim. 2009. “Improved Syntactic Models for Parsing Speech With Repairs ∗”, no. June: 656–664.
Word Buffering Models for Improved Speech Repair Parsing
Miller, Tim. 2009. “Word Buffering Models for Improved Speech Repair Parsing”. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 737–745. Singapore: Association for Computational Linguistics.
A Unified Syntactic Model for Parsing Fluent and Disfluent Speech
Miller, Tim, and William Schuler. 2008. “A Unified Syntactic Model for Parsing Fluent and Disfluent Speech”. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics (\ACL\’08), Short Papers, 105–108.
Toward a Psycholinguistically-Motivated Model of Language
Schuler, William, Samir AbdelRahman, Tim Miller, and Lane Schwartz. 2008. “Toward a Psycholinguistically-Motivated Model of Language”. In Proceedings of \COLING\, 785–792. Manchester, UK.
Exploiting a Sensed Environment to Improve Human-Agent Communication
Watters, Shana, Tim Miller, Praveen Balachandran, William Schuler, and Richard Voyles. 2005. “Exploiting a Sensed Environment to Improve Human-Agent Communication”. In Proceedings of the 4th International Joint Conference on Autonomous Agents and Multi-Agent Systems (\AA/MAS\’05). Utrecht, Netherlands.