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ORCIDScott Friedman 0001
Person information
- affiliation: Smart Information Flow Technologies, Minneapolis, MN, USA
Other persons with the same name
- Scott Friedman — disambiguation page
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Journal Articles
- 2024
[j3]Nathan Brugnone, Noam Benkler, Péter Révay, Rebecca Myhre, Scott Friedman, Sonja Schmer-Galunder, Steven Gray, James E. Gentile
:
Is from ought? A comparison of unsupervised methods for structuring values-based wisdom-of-crowds estimates. J. Comput. Soc. Sci. 7(2): 1327-1377 (2024)- 2018
- [j2]Scott E. Friedman, Kenneth D. Forbus, Bruce Sherin:
Representing, Running, and Revising Mental Models: A Computational Model. Cogn. Sci. 42(4): 1110-1145 (2018) - 2016
- [j1]Scott Friedman, Ann Kate Lockwood:
Qualitative Reasoning: Everyday, Pervasive, and Moving Forward - A Report on QR-15. AI Mag. 37(2): 95-96 (2016)
Conference and Workshop Papers
- 2024
- [c24]Noam K. Benkler, Scott Friedman, Sonja Schmer-Galunder, Drisana Marissa Mosaphir, Robert P. Goldman, Ruta Wheelock, Vasanth Sarathy, Pavan Kantharaju, Matthew D. McLure:
Recognizing Value Resonance with Resonance-Tuned RoBERTa Task Definition, Experimental Validation, and Robust Modeling. LREC/COLING 2024: 13688-13698 - 2023
- [c23]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:
Mapping a Plurality of Explanations with NLP: A Case Study of Mothers and Health Workers in India. CogSci 2023 - 2022
- [c22]Noam Benkler, Scott Friedman, Sonja Schmer-Galunder, Drisana Mosaphir, Vasanth Sarathy, Pavan Kantharaju, Matthew D. McLure, Robert P. Goldman:
Cultural Value Resonance in Folktales: A Transformer-Based Analysis with the World Value Corpus. SBP-BRiMS 2022: 209-218 - 2021
- [c21]Ben Gelman, Chae Clark, Scott E. Friedman, Ugur Kuter, James E. Gentile:
Toward A Robust Method for Understanding the Replicability of Research. SDU@AAAI 2021 - [c20]Scott E. Friedman, Ian H. Magnusson, Sonja Schmer-Galunder, Ruta Wheelock, Jeremy Gottlieb, Pooja Patel, Christopher Miller:
Toward Transformer-Based NLP for Extracting Psychosocial Indicators of Moral Disengagement. CogSci 2021 - [c19]Ian H. Magnusson, Scott E. Friedman:
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results. EMNLP (1) 2021: 4651-4658 - [c18]Scott E. Friedman, Jeffrey M. Rye, Matthew D. McLure, Helen C. Wauck, Pooja Patel, Ruta Wheelock, Mark A. Valovage, Steven Johnston, Christopher Miller:
Provenance as a Substrate for Human Sensemaking and Explanation of Machine Collaborators. SMC 2021: 1014-1019 - 2020
- [c17]Scott E. Friedman, Sonja Schmer-Galunder, Anthony Chen, Robert P. Goldman, Michelle Ausman:
Gender Gaps Correlate with Gender Bias in Social Media Word Embeddings. CogSci 2020 - [c16]Scott Friedman, Jeffrey M. Rye, David LaVergne, Dan J. Thomsen, Matthew Allen, Kyle Tunis:
Provenance-Based Interpretation of Multi-Agent Information Analysis. TaPP 2020 - 2019
- [c15]Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky:
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise. AAAI 2019: 2911-2918 - [c14]Scott E. Friedman, Micah B. Goldwater:
Simulating Explanatory Coexistence: Integrated, Synthetic, and Target-Dependent Reasoning. CogSci 2019: 358 - 2017
- [c13]Ian Perera, James F. Allen, Lucian Galescu, Choh Man Teng, Mark H. Burstein, Scott E. Friedman, David D. McDonald, Jeffrey M. Rye:
Natural Language Dialogue for Building and Learning Models and Structures. AAAI 2017: 5103-5104 - [c12]Scott E. Friedman, Mark H. Burstein, Jeffrey M. Rye, Ugur Kuter:
Analogical Localization: Flexible Plan Execution in Open Worlds. ICCBR (Workshops) 2017: 33-42 - 2016
- [c11]David D. McDonald, Scott E. Friedman, Amandalynne Paullada, Rusty Bobrow, Mark H. Burstein:
Extending Biology Models with Deep NLP over Scientific Articles. AAAI Workshop: Knowledge Extraction from Text 2016 - 2015
- [c10]Matthew D. McLure, Scott E. Friedman, Kenneth D. Forbus:
Extending Analogical Generalization with Near-Misses. AAAI 2015: 565-571 - [c9]Scott E. Friedman, David J. Musliner:
Automatically Repairing Stripped Executables with CFG Microsurgery. SASO Workshops 2015: 102-107 - 2013
- [c8]Brett Benyo, Partha P. Pal, Richard E. Schantz, Aaron Paulos, David J. Musliner, Tom Marble, Jeffrey M. Rye, Michael Boldt, Scott E. Friedman:
Automated Self-Adaptation for Cyber-Defense - Pushing Adaptive Perimeter Protection Inward. SASO Workshops 2013: 47-52 - [c7]David J. Musliner, Scott E. Friedman, Tom Marble, Jeffrey M. Rye, Michael Boldt, Michael J. S. Pelican:
Self-Adaptation Metrics for Active Cybersecurity. SASO Workshops 2013: 53-58 - [c6]David J. Musliner, Scott E. Friedman, Jeffrey M. Rye, Tom Marble:
Meta-control for Adaptive Cybersecurity in FUZZBUSTER. SASO 2013: 219-226 - 2012
- [c5]Micah B. Goldwater, Scott E. Friedman, Dedre Gentner, Kenneth D. Forbus, Cynthia Fisher, Michael Connor, Dan Roth, Franklin Chang, Gary S. Dell:
New Frontiers in Computational Models of Grammatical Development. CogSci 2012 - 2011
- [c4]Scott E. Friedman, Kenneth D. Forbus, Bruce L. Sherin:
Constructing and Revising Commonsense Science Explanations: A Metareasoning Approach. AAAI Fall Symposium: Advances in Cognitive Systems 2011 - [c3]Jason Taylor, Scott E. Friedman, Micah B. Goldwater, Kenneth D. Forbus, Dedre Gentner:
Modeling structural priming in sentence production via analogical processes. CogSci 2011 - [c2]Scott E. Friedman, Kenneth D. Forbus:
Repairing Incorrect Knowledge with Model Formulation and Metareasoning. IJCAI 2011: 887-893 - 2010
- [c1]Scott E. Friedman, Kenneth D. Forbus:
An Integrated Systems Approach to Explanation-Based Conceptual Change. AAAI 2010: 1523-1529
Informal and Other Publications
- 2024
- [i9]Sonja Schmer-Galunder, Ruta Wheelock, Scott Friedman, Alyssa Chvasta, Zaria Jalan, Emily Saltz:
Annotator in the Loop: A Case Study of In-Depth Rater Engagement to Create a Bridging Benchmark Dataset. CoRR abs/2408.00880 (2024) - [i8]Maryam Berijanian, Spencer Dork, Kuldeep Singh, Michael Riley Millikan, Ashlin Riggs, Aadarsh Swaminathan, Sarah L. Gibbs, Scott E. Friedman, Nathan Brugnone:
Soft Measures for Extracting Causal Collective Intelligence. CoRR abs/2409.18911 (2024) - 2023
- [i7]Noam Benkler, Drisana Mosaphir, Scott Friedman, Andrew Smart, Sonja Schmer-Galunder:
Assessing LLMs for Moral Value Pluralism. CoRR abs/2312.10075 (2023) - 2022
- [i6]Scott E. Friedman, Ian H. Magnusson, Vasanth Sarathy, Sonja Schmer-Galunder:
From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach. CoRR abs/2202.11768 (2022) - 2021
- [i5]Scott E. Friedman, Ian H. Magnusson, Sonja M. Schmer-Galunder:
Extracting Qualitative Causal Structure with Transformer-Based NLP. CoRR abs/2108.13304 (2021) - [i4]Ian H. Magnusson, Scott E. Friedman:
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results. CoRR abs/2109.10453 (2021) - 2020
- [i3]Scott E. Friedman, Robert P. Goldman, Richard G. Freedman, Ugur Kuter, Christopher W. Geib, Jeffrey M. Rye:
Provenance-Based Assessment of Plans in Context. CoRR abs/2011.01774 (2020) - [i2]Scott Friedman, Jeffrey M. Rye, David LaVergne, Dan J. Thomsen, Matthew Allen, Kyle Tunis:
Provenance-Based Interpretation of Multi-Agent Information Analysis. CoRR abs/2011.04016 (2020) - 2018
- [i1]Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky:
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise. CoRR abs/1811.11064 (2018)
Coauthor Index
aka: Sonja M. Schmer-Galunder
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