Towards domain general detection of transactive knowledge building behavior. - James Fiacco; Carolyn P. Rosé (L@S, 2018)

Deep Neural Model Inspection and Comparison via Functional Neuron Pathways. - James Fiacco; Samridhi Choudhary; Carolyn P. Rosé (ACL (1), 2019)

Towards Enabling Feedback on Rhetorical Structure with Neural Sequence Models. - James Fiacco; Elena Cotos; Carolyn P. Rosé (LAK, 2019)

Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance. - Sopan Khosla; James Fiacco; Carolyn P. Rosé (NAACL-HLT, 2021)

StoryQ: A Web-Based Machine Learning and Text Mining Tool for K-12 Students. - Jie Chao; Bill Finzer; Carolyn P. Rosé; Shiyan Jiang; Michael Yoder 001; James Fiacco; Chas Murray; Cansu Tatar; Kenia Wiedemann (SIGCSE (2), 2022)

Exploring Artificial Intelligence in English Language Arts with StoryQ. - Jie Chao; Rebecca Ellis; Shiyan Jiang; Carolyn P. Rosé; William Finzer; Cansu Tatar; James Fiacco; Kenia Wiedemann (AAAI, 2023)

Towards Extracting and Understanding the Implicit Rubrics of Transformer Based Automatic Essay Scoring Models. - James Fiacco; David Adamson; Carolyn P. Rosé (BEA@ACL, 2023)

Teach Artificial Intelligence with StoryQ, A Web-Based Machine Learning and Text Mining Tool for K-12 Students. - Jie Chao; William Finzer; Carolyn P. Rosé; Shiyan Jiang; Rebecca Ellis; Kenia Wiedemann; Cansu Tatar; James Fiacco (SIGCSE (2), 2023)

Functional Components as a Paradigm for Neural Model Explainability - James Fiacco (2024)