Search

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.

Savova, Guergana K., Ioana Danciu, Folami Alamudun, Timothy Miller, Chen Lin, Danielle S. Bitterman, Georgia Tourassi, and Jeremy L. Warner. 2019. “Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records.”. Cancer Research 79 (21): 5463–5470.

Wright-Bettner, Kristin, Martha Palmer, Guergana Savova, Piet Groen, and Timothy Miller. 2019. “Cross-Document Coreference: An Approach to Capturing Coreference Without Context”. In Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019), 1–10. Hong Kong: Association for Computational Linguistics.

Lai, Nicole, Melissa Musser, Felipe Pinho-Ribeiro, Pankaj Baral, Amanda Jacobson, Pingchuan Ma, David Potts, et al. 2019. “Gut-Innervating Nociceptor Neurons Regulate Peyer’s Patch Microfold Cells and SFB Levels to Mediate Salmonella Host Defense”. Cell.

Miller, Timothy. 2019. “Simplified Neural Unsupervised Domain Adaptation”. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), 414–419. Minneapolis, Minnesota: Association for Computational Linguistics.

Lin, Chen, Timothy Miller, Dmitriy Dligach, Steven Bethard, and Guergana Savova. 2019. “A BERT-Based Universal Model for Both Within- and Cross-Sentence Clinical Temporal Relation Extraction”. In Proceedings of the 2nd Clinical Natural Language Processing Workshop, 65–71. Minneapolis, Minnesota, USA: Association for Computational Linguistics.

Rao, Meenakshi. 2020. “An Increasingly Complex View of Intestinal Motility”. Nat Rev Gastroenterol Hepatol 17 (2): 72-73.