Scott Friedman

12 papers A* 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis.
CoRR
Scott Friedman, Sonja Schmer-Galunder, Anthony Chen, Jeffrey M. Rye
2024 J jnl
Annotator in the Loop: A Case Study of In-Depth Rater Engagement to Create a Bridging Benchmark Dataset.
CoRR
Sonja Schmer-Galunder, Ruta Wheelock, Scott Friedman, Alyssa Chvasta, Zaria Jalan, Emily Saltz
2024 — conf
Annotator in the Loop: A Case Study of In-Depth Rater Engagement to Create a Prosocial Benchmark Dataset.
AIES (1)
Sonja Schmer-Galunder, Ruta Wheelock, Zaria Jalan, Alyssa Chvasta, Scott Friedman, Emily Saltz
2024 J jnl
Is from ought? A comparison of unsupervised methods for structuring values-based wisdom-of-crowds estimates.
J. Comput. Soc. Sci.
Nathan Brugnone, Noam Benkler, Péter Révay, Rebecca Myhre, Scott Friedman, Sonja Schmer-Galunder, Steven Gray, James E. Gentile
2024 — conf
Recognizing Value Resonance with Resonance-Tuned RoBERTa Task Definition, Experimental Validation, and Robust Modeling.
LREC/COLING
Noam K. Benkler, Scott Friedman, Sonja Schmer-Galunder, Drisana Marissa Mosaphir, Robert P. Goldman, Ruta Wheelock, Vasanth Sarathy, Pavan Kantharaju, Matthew D. McLure
2023 J jnl
Assessing LLMs for Moral Value Pluralism.
CoRR
Noam Benkler, Drisana Mosaphir, Scott Friedman, Andrew Smart, Sonja Schmer-Galunder
2022 — conf
Cultural Value Resonance in Folktales: A Transformer-Based Analysis with the World Value Corpus.
SBP-BRiMS
Noam Benkler, Scott Friedman, Sonja Schmer-Galunder, Drisana Mosaphir, Vasanth Sarathy, Pavan Kantharaju, Matthew D. McLure, Robert P. Goldman
2020 — conf
Provenance-Based Interpretation of Multi-Agent Information Analysis.
TaPP
Scott Friedman, Jeffrey M. Rye, David LaVergne, Dan J. Thomsen, Matthew Allen, Kyle Tunis
2020 J jnl
Provenance-Based Interpretation of Multi-Agent Information Analysis.
CoRR
Scott Friedman, Jeffrey M. Rye, David LaVergne, Dan J. Thomsen, Matthew Allen, Kyle Tunis
2019 A* conf
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise.
AAAI
Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky
2018 J jnl
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise.
CoRR
Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky
2016 J jnl
Qualitative Reasoning: Everyday, Pervasive, and Moving Forward - A Report on QR-15.
AI Mag.
Scott Friedman, Ann Kate Lockwood