An Integrated Systems Approach to Explanation-Based Conceptual Change. - Scott E. Friedman; Kenneth D. Forbus (AAAI, 2010)

Constructing and Revising Commonsense Science Explanations: A Metareasoning Approach. - Scott E. Friedman; Kenneth D. Forbus; Bruce L. Sherin (AAAI Fall Symposium: Advances in Cognitive Systems, 2011)

Modeling structural priming in sentence production via analogical processes. - Jason Taylor; Scott E. Friedman; Micah B. Goldwater; Kenneth D. Forbus; Dedre Gentner (CogSci, 2011)

Repairing Incorrect Knowledge with Model Formulation and Metareasoning. - Scott E. Friedman; Kenneth D. Forbus (IJCAI, 2011)

New Frontiers in Computational Models of Grammatical Development. - Micah B. Goldwater; Scott E. Friedman; Dedre Gentner; Kenneth D. Forbus; Cynthia Fisher; Michael Connor; Dan Roth 001; Franklin Chang; Gary S. Dell (CogSci, 2012)

Automated Self-Adaptation for Cyber-Defense - Pushing Adaptive Perimeter Protection Inward. - Brett Benyo; Partha P. Pal; Richard E. Schantz; Aaron Paulos; David J. Musliner; Tom Marble; Jeffrey M. Rye; Michael Boldt; Scott E. Friedman (SASO Workshops, 2013)

Self-Adaptation Metrics for Active Cybersecurity. - David J. Musliner; Scott E. Friedman; Tom Marble; Jeffrey M. Rye; Michael Boldt; Michael J. S. Pelican (SASO Workshops, 2013)

Meta-control for Adaptive Cybersecurity in FUZZBUSTER. - David J. Musliner; Scott E. Friedman; Jeffrey M. Rye; Tom Marble (SASO, 2013)

Extending Analogical Generalization with Near-Misses. - Matthew D. McLure; Scott E. Friedman; Kenneth D. Forbus (AAAI, 2015)

Automatically Repairing Stripped Executables with CFG Microsurgery. - Scott E. Friedman; David J. Musliner (SASO Workshops, 2015)

Extending Biology Models with Deep NLP over Scientific Articles. - David D. McDonald 002; Scott E. Friedman; Amandalynne Paullada; Rusty Bobrow; Mark H. Burstein (AAAI Workshop: Knowledge Extraction from Text, 2016)

Qualitative Reasoning: Everyday, Pervasive, and Moving Forward - A Report on QR-15. - Scott Friedman 001; Ann Kate Lockwood (AI Mag., 2016)

Natural Language Dialogue for Building and Learning Models and Structures. - Ian Perera; James F. Allen; Lucian Galescu; Choh Man Teng 001; Mark H. Burstein; Scott E. Friedman; David D. McDonald 002; Jeffrey M. Rye (AAAI, 2017)

Analogical Localization: Flexible Plan Execution in Open Worlds. - Scott E. Friedman; Mark H. Burstein; Jeffrey M. Rye; Ugur Kuter (ICCBR (Workshops), 2017)

Representing, Running, and Revising Mental Models: A Computational Model. - Scott E. Friedman; Kenneth D. Forbus; Bruce Sherin (Cogn. Sci., 2018)

Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise. - Nikhil Krishnaswamy; Scott Friedman 001; James Pustejovsky (AAAI, 2019)

Simulating Explanatory Coexistence: Integrated, Synthetic, and Target-Dependent Reasoning. - Scott E. Friedman; Micah B. Goldwater (CogSci, 2019)

Gender Gaps Correlate with Gender Bias in Social Media Word Embeddings. - Scott E. Friedman; Sonja Schmer-Galunder; Anthony Chen; Robert P. Goldman; Michelle Ausman (CogSci, 2020)

Provenance-Based Interpretation of Multi-Agent Information Analysis. - Scott Friedman 001; Jeffrey M. Rye; David LaVergne; Dan J. Thomsen; Matthew Allen; Kyle Tunis (TaPP, 2020)

Provenance-Based Assessment of Plans in Context. - Scott E. Friedman; Robert P. Goldman; Richard G. Freedman; Ugur Kuter; Christopher W. Geib; Jeffrey M. Rye (CoRR, 2020)

Toward A Robust Method for Understanding the Replicability of Research. - Ben Gelman; Chae Clark; Scott E. Friedman; Ugur Kuter; James E. Gentile (SDU@AAAI, 2021)

Toward Transformer-Based NLP for Extracting Psychosocial Indicators of Moral Disengagement. - Scott E. Friedman; Ian H. Magnusson; Sonja Schmer-Galunder; Ruta Wheelock; Jeremy Gottlieb; Pooja Patel; Christopher Miller 004 (CogSci, 2021)

Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results. - Ian H. Magnusson; Scott E. Friedman (EMNLP (1), 2021)

Provenance as a Substrate for Human Sensemaking and Explanation of Machine Collaborators. - Scott E. Friedman; Jeffrey M. Rye; Matthew D. McLure; Helen C. Wauck; Pooja Patel; Ruta Wheelock; Mark A. Valovage; Steven Johnston; Christopher Miller 004 (SMC, 2021)

Extracting Qualitative Causal Structure with Transformer-Based NLP. - Scott E. Friedman; Ian H. Magnusson; Sonja M. Schmer-Galunder (CoRR, 2021)

Cultural Value Resonance in Folktales: A Transformer-Based Analysis with the World Value Corpus. - Noam Benkler; Scott Friedman 001; Sonja Schmer-Galunder; Drisana Mosaphir; Vasanth Sarathy; Pavan Kantharaju; Matthew D. McLure; Robert P. Goldman (SBP-BRiMS, 2022)

From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach. - Scott E. Friedman; Ian H. Magnusson; Vasanth Sarathy; Sonja Schmer-Galunder (CoRR, 2022)

Mapping a Plurality of Explanations with NLP: A Case Study of Mothers and Health Workers in India. - Scott E. Friedman; Sonja Schmer-Galunder; Vasanth Sarathy; Ruta Wheelock; Matthew D. McLure; Drisana Mosaphir; Robert P. Goldman; Noam Benkler; Pavan Kantharaju; Micah B. Goldwater; Cristine H. Legare (CogSci, 2023)

Assessing LLMs for Moral Value Pluralism. - Noam Benkler; Drisana Mosaphir; Scott Friedman 001; Andrew Smart; Sonja Schmer-Galunder (CoRR, 2023)

Annotator in the Loop: A Case Study of In-Depth Rater Engagement to Create a Prosocial Benchmark Dataset. - Sonja Schmer-Galunder; Ruta Wheelock; Zaria Jalan; Alyssa Chvasta; Scott Friedman 001; Emily Saltz (AIES (1), 2024)

Recognizing Value Resonance with Resonance-Tuned RoBERTa Task Definition, Experimental Validation, and Robust Modeling. - Noam K. Benkler; Scott Friedman 001; Sonja Schmer-Galunder; Drisana Marissa Mosaphir; Robert P. Goldman; Ruta Wheelock; Vasanth Sarathy; Pavan Kantharaju; Matthew D. McLure (LREC/COLING, 2024)

Annotator in the Loop: A Case Study of In-Depth Rater Engagement to Create a Bridging Benchmark Dataset. - Sonja Schmer-Galunder; Ruta Wheelock; Scott Friedman 001; Alyssa Chvasta; Zaria Jalan; Emily Saltz (CoRR, 2024)

Soft Measures for Extracting Causal Collective Intelligence. - Maryam Berijanian; Spencer Dork; Kuldeep Singh; Michael Riley Millikan; Ashlin Riggs; Aadarsh Swaminathan; Sarah L. Gibbs; Scott E. Friedman; Nathan Brugnone (CoRR, 2024)

Bottom-Up and Top-Down Analysis of Values, Agendas, and Observations in Corpora and LLMs. - Scott E. Friedman; Noam Benkler; Drisana Mosaphir; Jeffrey M. Rye; Sonja M. Schmer-Galunder; Micah B. Goldwater; Matthew D. McLure; Ruta Wheelock; Jeremy Gottlieb; Robert P. Goldman; Christopher Miller 004 (CoRR, 2024)

Is from ought? A comparison of unsupervised methods for structuring values-based wisdom-of-crowds estimates. - Nathan Brugnone; Noam Benkler; Péter Révay; Rebecca Myhre; Scott Friedman 001; Sonja Schmer-Galunder; Steven Gray; James E. Gentile (J. Comput. Soc. Sci., 2024)