Using Natural Language Processing to Facilitate Medical Record Abstraction in Epidemiological Studies. - Carlton Moore; Kyle Shaffer; Anna Kucharska-Newton; Stephanie W. Haas; Gerardo Heiss (AMIA, 2015)

Predicting Speech Acts in MOOC Forum Posts. - Jaime Arguello; Kyle Shaffer (ICWSM, 2015)

Beyond Fine Tuning: A Modular Approach to Learning on Small Data. - Ark Anderson; Kyle Shaffer; Artëm Yankov; Courtney D. Corley; Nathan Oken Hodas (CoRR, 2016)

Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter. - Svitlana Volkova; Kyle Shaffer; Jin Yea Jang; Nathan Oken Hodas (ACL (2), 2017)

Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams. - Lawrence Phillips; Kyle Shaffer; Dustin Arendt; Nathan Oken Hodas; Svitlana Volkova (Rep4NLP@ACL, 2017)

Using Social Media to Predict the Future: A Systematic Literature Review. - Lawrence Phillips; Chase Dowling; Kyle Shaffer; Nathan Oken Hodas; Svitlana Volkova (CoRR, 2017)

Language Clustering for Multilingual Named Entity Recognition. - Kyle Shaffer (EMNLP (Findings), 2021)

AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature. - Melissa Roemmele; Kyle Shaffer; Katrina Olsen; Yiyi Wang; Steve DeNeefe (EACL, 2023)