Conference and workshop papers
- Lippincott, T., & Van Durme, B. (2021). Using negative evidence for language classification. Under Review.
- Lippincott, T. (2020). StarCoder: A general neural ensemble technique to support traditional scholarship, illustrated with a study of the post-Atlantic slave trade. Proceedings of Digital Humanities 2020.
- Lippincott, T. (2019). Graph convolutional networks for exploring authorship hypotheses. Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature.
- Lippincott, T., Shapiro, P., Duh, K., & McNamee, P. (2019). JHU System Description for the MADAR Arabic Dialect Identification Shared Task. Proceedings of the Fourth Workshop for Arabic Natural Language Processing.
- Lippincott, T., & Carrell, A. (2018). Observational Comparison of Geo-tagged and Randomly-drawn Tweets. PEOPLES: NAACL Workshop.
- Lippincott, T. (2018). Portable, layer-wise task performance monitoring for NLP models. BlackBox: EMNLP Workshop.
- Lippincott, T., Naradowsky, J., & Van Durme, B. (2018). Recognizing self-identification in social media. North American Social Networks Conference.
- Niehues, J., Lippincott, T., Martindale, M., Varis, D., & Duh, K. (2018). Understanding Continued Training of Neural Machine Translation Models. Under Review.
- Lippincott, T. (2017). Author Attribute Classification for Social Media. North American Social Networks Conference.
- Lippincott, T., & Van Durme, B. (2016). Fluency detection on communication networks. EMNLP, 1025–1029.
- Rasooli, M. S., Lippincott, T., Habash, N., & Rambow, O. (2014). Unsupervised Morphology-Based Vocabulary Expansion. ACL (1), 1349–1359.
- Lippincott, T., Séaghdha, D. O., & Korhonen, A. (2012). Learning syntactic verb frames using graphical models. Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers-Volume 1, 420–429.
- Lippincott, T., Séaghdha, D. O., Sun, L., & Korhonen, A. (2010). Exploring variations across biomedical subdomains. Proceedings of the 23rd International Conference on Computational Linguistics, 689–697.
- Lippincott, T., & Passonneau, R. J. (2009). Semantic Clustering for a Functional Text Classification Task. CICLing, 509–522.
- Lippincott, T. (2008). A Framework for Multilayered Boundary Detection. Digital Humanities 2009.
- Passonneau, R. J., Yano, T., Lippincott, T., & Klavans, J. (2008). Relation between agreement measures on human labeling and machine learning performance: Results from an art history image indexing domain. Computational Linguistics for Metadata Building, 49.
- Passonneau, R., Yano, T., Lippincott, T., & Klavans, J. (2008). Functional semantic categories for art history text: human labeling and preliminary machine learning. International Conference on Computer Vision Theory and Applications, Workshop 3: Metadata Mining for Image Understanding.
- Klavans, J., Sheffield, C., Abels, E., Beaudoin, J. E., Jenemann, L., Lin, J., Lippincott, T., Passonneau, R., Sidhu, T., Soergel, D., & others. (2008). Computational linguistics for metadata building: Aggregating text processing technologies for enhanced image access.
Journal articles
- Lippincott, T., Rimell, L., Verspoor, K., & Korhonen, A. (2013). Approaches to verb subcategorization for biomedicine. Journal of Biomedical Informatics, 46(2), 212–227.
- Rimell, L., Lippincott, T., Verspoor, K., Johnson, H. L., & Korhonen, A. (2013). Acquisition and evaluation of verb subcategorization resources for biomedicine. Journal of Biomedical Informatics, 46(2), 228–237.
- Lippincott, T., Séaghdha, D. Ó., & Korhonen, A. (2011). Exploring subdomain variation in biomedical language. BMC Bioinformatics, 12(1), 212.
Monographs
- Lippincott, T. (2015). Unsupervised approaches to syntactic verb frame acquisition for biomedicine [PhD thesis]. University of Cambridge.
Demos and Presentations
- CADET: Computer Assisted Discovery Extraction and Translation. (2017). In The 8th International Joint Conference on Natural Language Processing.
- Innovative Courses at Johns Hopkins University: Creating Links to Industry, Business, Community, and Real-World Cases. 15th International Conference on Higher Education Reform.