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Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks

Publication: Conference Paper

Lin, Chen, Timothy Miller, Dmitriy Dligach, Steven Bethard, and Guergana Savova. 2017. “Representations of Time Expressions for Temporal Relation Extraction With Convolutional Neural Networks”. In BioNLP 2017, 322–327. Vancouver, Canada,: Association for Computational Linguistics.

Towards generalizable entity-centric clinical coreference resolution

Publication: Journal Article

Miller, Timothy, Dmitriy Dligach, Steven Bethard, Chen Lin, and Guergana Savova. 2017. “Towards Generalizable Entity-Centric Clinical Coreference Resolution”. J Biomed Inform 69: 251-58.

Multilayered temporal modeling for the clinical domain

Publication: Journal Article

Lin, Chen, Dmitriy Dligach, Timothy Miller, Steven Bethard, and Guergana Savova. 2016. “Multilayered Temporal Modeling for the Clinical Domain”. J Am Med Inform Assoc 23 (2): 387-95.

Temporal annotation in the clinical domain

Publication: Journal Article

Styler IV, William, Steven Bethard, Sean Finan, Martha Palmer, Sameer S. Pradhan, Piet Groen, Bradley Erickson, et al. 2014. “Temporal Annotation in the Clinical Domain”. Transactions of the łdots} 2: 143–154.

Feature engineering and selection for rheumatoid arthritis disease activity classification using electronic medical records

Publication: Journal Article

Lin, Chen, Helena Canhao, Timothy Miller, Dmitriy Dligach, Robert Plenge, Elizabeth Karlson, and Guergana Savova. 2012. “Feature Engineering and Selection for Rheumatoid Arthritis Disease Activity Classification Using Electronic Medical Records”. Proceedings of the 29th International ICML Conference Workshop on Machine Learning for Clinical Data.

Incremental Semantic Models for Continuous Context-Sensitive Speech Recognition

Publication: Conference Paper

Miller, Tim, Lane Schwartz, and William Schuler. 2007. “Incremental Semantic Models for Continuous Context-Sensitive Speech Recognition”. In Proceedings of the Workshop on Semantic Representation of Spoken Language (\SRSL\’07). Salamanca, Spain.

Unsupervised Grammar Induction with Depth-bounded PCFG

Publication: Journal Article

Jin, Lifeng, Finale Doshi-Velez, Timothy Miller, William Schuler, and Lane Schwartz. 2018. “Unsupervised Grammar Induction With Depth-Bounded PCFG”. Transactions of the Association for Computational Linguistics 6: 211–224.

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NLP Postdoctoral Research Fellow at Harvard Medical School Machine Learning for Medical Language Laboratory, PI Timothy Miller The Machine Learning for Medical Language Lab at Boston Children’s Hospital is seeking post-doctoral research fellows to contribute to cutting edge research in the field of...

Automatic prediction of rheumatoid arthritis disease activity from the electronic medical records.

Publication: Journal Article

Lin, Chen, Elizabeth Karlson, Helena Canhao, Timothy Miller, Dmitriy Dligach, Pei Jun Chen, Raul Natanael Guzman Perez, et al. 2013. “Automatic Prediction of Rheumatoid Arthritis Disease Activity from the Electronic Medical Records.”. PloS One 8 (8): e69932.

An Empirical Evaluation of \HHMM\ Parsing Time

Publication: Conference Paper

Miller, Tim, and William Schuler. 2008. “An Empirical Evaluation of \HHMM\ Parsing Time”. In Proceedings of the Midwest Computational Linguistics Colloquium.