Generative Models of Disfluency
Miller, Timothy. 2010. “Generative Models of Disfluency.”
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Parsing Speech Repair without Specialized Grammar Symbols
Miller, Tim, Luan Nguyen, and William Schuler. 2009. “Parsing Speech Repair Without Specialized Grammar Symbols”. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, 277–280. Suntec, Singapore: Association for Computational Linguistics.
Dynamic Evidence Models in a DBN Phone Recognizer
Schuler, William, Tim Miller, Andrew Exley, and Stephen Wu. 2006. “Dynamic Evidence Models in a DBN Phone Recognizer”. In Proceedings of the 9th International Conference on Spoken Language Processing (ICSLP/Interspeech’06), 1221–1224. Pittsburgh, Pennsylvania.
Integrating Denotational Meaning into a \\DBN\\ Language Model
Schuler, William, and Tim Miller. 2005. “Integrating Denotational Meaning into a \\DBN\\ Language Model”. In Proceedings of the 9th European Conference on Speech Communication and Technology / 6th Interspeech Event (Eurospeech/Interspeech’05), 901–904. Lisbon, Portugal.
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.
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.
Research
I am part of the Computational Health Informatics Program ( CHIP) located in Boston Children's Hospital. I work in natural language processing (NLP) of clinical text, extracting information from medical records to facilitate clinical research and make the healthcare system more efficient. I am...
Unsupervised Domain Adaptation for Clinical Negation Detection
Miller, Timothy, Steven Bethard, Hadi Amiri, and Guergana Savova. 2017. “Unsupervised Domain Adaptation for Clinical Negation Detection”. In BioNLP 2017, 165–170. Vancouver, Canada,: Association for Computational Linguistics.
Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input
Shain, Cory, William Bryce, Lifeng Jin, Victoria Krakovna, Finale Doshi-Velez, Timothy Miller, William Schuler, and Lane Schwartz. 2016. “Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input”. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 964–975. Osaka, Japan: The COLING 2016 Organizing Committee.