Relation between Agreement Measures on Human Labeling and Machine Learning Performance: Results from an Art History Domain. - Rebecca J. Passonneau; Tom Lippincott; Tae Yano; Judith L. Klavans (LREC, 2008)

Semantic Clustering for a Functional Text Classification Task. - Thomas Lippincott; Rebecca J. Passonneau (CICLing, 2009)

Exploring variation across biomedical subdomains. - Tom Lippincott; Diarmuid Ó Séaghdha; Lin Sun 003; Anna Korhonen (COLING, 2010)

Exploring subdomain variation in biomedical language. - Thomas Lippincott; Diarmuid Ó Séaghdha; Anna Korhonen (BMC Bioinform., 2011)

Learning Syntactic Verb Frames using Graphical Models. - Thomas Lippincott; Anna Korhonen; Diarmuid Ó Séaghdha (ACL (1), 2012)

Approaches to verb subcategorization for biomedicine. - Thomas Lippincott; Laura Rimell; Karin Verspoor; Anna Korhonen (J. Biomed. Informatics, 2013)

Acquisition and evaluation of verb subcategorization resources for biomedicine. - Laura Rimell; Thomas Lippincott; Karin Verspoor; Helen L. Johnson 001; Anna Korhonen (J. Biomed. Informatics, 2013)

Unsupervised Morphology-Based Vocabulary Expansion. - Mohammad Sadegh Rasooli; Thomas Lippincott; Nizar Habash; Owen Rambow (ACL (1), 2014)

Unsupervised approaches to syntactic verb frame acquisition for biomedicine. - Thomas Lippincott (2015)

Fluency detection on communication networks. - Tom Lippincott; Benjamin Van Durme (EMNLP, 2016)

CADET: Computer Assisted Discovery Extraction and Translation. - Benjamin Van Durme; Tom Lippincott; Kevin Duh; Deana Burchfield; Adam Poliak; Cash Costello; Tim Finin; Scott Miller; James Mayfield; Philipp Koehn; Craig Harman; Dawn J. Lawrie; et al. (IJCNLP (System Demonstrations), 2017)

Observational Comparison of Geo-tagged and Randomly-drawn Tweets. - Tom Lippincott; Annabelle Carrell (PEOPLES@NAACL-HTL, 2018)

Portable, layer-wise task performance monitoring for NLP models. - Thomas Lippincott (BlackboxNLP@EMNLP, 2018)

Graph convolutional networks for exploring authorship hypotheses. - Tom Lippincott (LaTeCH@NAACL-HLT, 2019)

NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. - Yunmo Chen; Seth Ebner; Tongfei Chen; Patrick Xia 002; Elias Stengel-Eskin; Tzu-Ray Su; J. Edward Hu; Nils Holzenberger; Ryan Culkin; Craig Harman; Max Thomas; Thomas Lippincott; et al. (TAC, 2019)

JHU System Description for the MADAR Arabic Dialect Identification Shared Task. - Tom Lippincott; Pamela Shapiro; Kevin Duh; Paul McNamee (WANLP@ACL 2019, 2019)

StarCoder: A general neural ensemble technique to support traditional scholarship, illustrated with a study of the post-Atlantic slave trade. - Thomas Lippincott (DH, 2020)

Graph-Convolutional Autoencoder Ensembles for the Humanities, Illustrated with a Study of the American Slave Trade. - Tom Lippincott (CoRR, 2024)

Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses. - Hale Sirin; Tom Lippincott (CoRR, 2024)

Detecting Structured Language Alternations in Historical Documents by Combining Language Identification with Fourier Analysis. - Hale Sirin; Sabrina Li; Tom Lippincott (CoRR, 2024)

Pairing Orthographically Variant Literary Words to Standard Equivalents Using Neural Edit Distance Models. - Craig Messner; Tom Lippincott (CoRR, 2024)

Examining Language Modeling Assumptions Using an Annotated Literary Dialect Corpus. - Craig Messner; Tom Lippincott (CoRR, 2024)

Computational Discovery of Chiasmus in Ancient Religious Text. - Hope McGovern; Hale Sirin; Tom Lippincott (NAACL (Short Papers), 2025)

Characterizing the Effects of Translation on Intertextuality using Multilingual Embedding Spaces. - Hope McGovern; Hale Sirin; Tom Lippincott (NAACL (Short Papers), 2025)

Automatic Language Identification in Texts. - Tom Lippincott (Comput. Linguistics, 2025)

Transferring Extreme Subword Style Using Ngram Model-Based Logit Scaling. - Craig Messner; Tom Lippincott (CoRR, 2025)

Pretraining Language Models for Diachronic Linguistic Change Discovery. - Elisabeth Fittschen; Sabrina Li; Tom Lippincott; Leshem Choshen; Craig Messner (CoRR, 2025)

Dynamic Embedded Topic Models: properties and recommendations based on diverse corpora. - Elisabeth Fittschen; Bella Xia; Leib Celnik; Paul Dilley; Tom Lippincott (CoRR, 2025)