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Dligach, Dmitriy, and Timothy Miller. 2018. “Learning Patient Representations from Text”. In Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 119–123. Association for Computational Linguistics.

Amiri, Hadi, Timothy Miller, and Guergana Savova. 2018. “Spotting Spurious Data With Neural Networks”. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 2006–2016. Association for Computational Linguistics.

Lin, Chen, Timothy Miller, Dmitriy Dligach, Hadi Amiri, Steven Bethard, and Guergana Savova. 2018. “Self-Training Improves Recurrent Neural Networks Performance for Temporal Relation Extraction”. In Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 165–176. Association for Computational Linguistics.

Jin, Lifeng, Finale Doshi-Velez, Timothy Miller, William Schuler, and Lane Schwartz. 2018. “Depth-Bounding Is Effective: Improvements and Evaluation of Unsupervised PCFG Induction”. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2721–2731. Association for Computational Linguistics.

Savova, Guergana, Eugene Tseytlin, Sean Finan, Melissa Castine, Timothy Miller, Olga Medvedeva, David Harris, et al. 2017. “DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records”. Cancer Res 77 (21): e115-e118.

Miller, Timothy, Alon Geva, and Dmitriy Dligach. 2019. “Extracting Adverse Drug Event Information With Minimal Engineering”. In Proceedings of the 2nd Clinical Natural Language Processing Workshop, 22–27. Minneapolis, Minnesota, USA: Association for Computational Linguistics.

Jin, Lifeng, Finale Doshi-Velez, Timothy Miller, Lane Schwartz, and William Schuler. 2019. “Unsupervised Learning of PCFGs With Normalizing Flow”. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2442–2452. Florence, Italy: Association for Computational Linguistics.

Liu, Dianbo, Dmitriy Dligach, and Timothy Miller. 2019. “Two-Stage Federated Phenotyping and Patient Representation Learning”. In Proceedings of the 18th BioNLP Workshop and Shared Task, 283–291. Florence, Italy: Association for Computational Linguistics.

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.

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.