Darren Scott Appling

According to our database, Darren Scott Appling authored at least 21 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Reactions to Fact Checking.

D. Scott Appling, Amy S. Bruckman, Munmun De Choudhury

Proc. ACM Hum. Comput. Interact., 2022

2019

?Did You Suspect the Post Would be Removed?": Understanding User Reactions to Content Removals on Reddit.

Shagun Jhaver, Darren Scott Appling, Eric Gilbert, Amy S. Bruckman

Proc. ACM Hum. Comput. Interact., 2019

2017

A Semantic Frame-Based Similarity Metric for Characterizing Technological Capabilities.

D. Scott Appling, Erica Briscoe

Proceedings of the Language, Data, and Knowledge - First International Conference, 2017

Enabling Next Generational Social Science with Machine Reading.

Darren Scott Appling, Erica Briscoe

Proceedings of Workshops and Tutorials of the 9th International Conference on Knowledge Capture (K-CAP2017), 2017

The Perception of Social Bots by Human and Machine.

Darren Scott Appling, Erica J. Briscoe

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016

Technology Futures From Passive Crowdsourcing.

Erica Briscoe, Darren Scott Appling, Joel Schlosser

IEEE Trans. Comput. Soc. Syst., 2016

2015

Social Network Derived Credibility.

Erica J. Briscoe, Darren Scott Appling, Heather Hayes

Proceedings of the Recommendation and Search in Social Networks, 2015

Discriminative Models for Predicting Deception Strategies.

Darren Scott Appling, Erica J. Briscoe, Clayton J. Hutto

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Passive Crowd Sourcing for Technology Prediction.

Erica J. Briscoe, D. Scott Appling, Joel Schlosser

Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

2014

Real-time streaming intelligence: Integrating graph and NLP analytics.

David Ediger, D. Scott Appling, Erica Briscoe, Robert McColl, Jason Poovey

Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

Cues to Deception in Social Media Communications.

Erica Briscoe, D. Scott Appling, Heather Hayes

Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

2013

Determining credibility from social network structure.

Erica Briscoe, D. Scott Appling, Rudolph L. Mappus IV, Heather Hayes

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration.

Xiaoqin Zhang, Bhavesh Shrestha, Sung Wook Yoon, Subbarao Kambhampati, Phillip DiBona, Jinhong K. Guo, Daniel McFarlane, Martin O. Hofmann, Kenneth R. Whitebread, Darren Scott Appling, Elizabeth T. Whitaker, Ethan Trewhitt, Li Ding, James Michaelis, Deborah L. McGuinness, James A. Hendler, Janardhan Rao Doppa, Charles Parker, Thomas G. Dietterich, Prasad Tadepalli, Weng-Keen Wong, Derek T. Green, Antons Rebguns, Diana F. Spears, Ugur Kuter, Geoffrey Levine, Gerald DeJong, Reid MacTavish, Santiago Ontañón, Jainarayan Radhakrishnan, Ashwin Ram, Hala Mostafa, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Victor R. Lesser, Zhexuan Song

ACM Trans. Intell. Syst. Technol., 2012

Learning Sociocultural Knowledge via Crowdsourced Examples.

Boyang Li, Darren Scott Appling, Stephen Lee-Urban, Mark O. Riedl

Proceedings of the 4th Human Computation Workshop, 2012

2010

Paraphrasing Training Data for Statistical Machine Translation.

Eric Nichols, Francis Bond, D. Scott Appling, Yuji Matsumoto

Inf. Media Technol., 2010

2009

An Ensemble Learning and Problem Solving Architecture for Airspace Management.

Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong K. Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontañón, Charles Parker, Jainarayan Radhakrishnan, Antons Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread

Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009

Representations for Learning to Summarize Plots.

D. Scott Appling, Mark O. Riedl

Proceedings of the Intelligent Narrative Technologies II, 2009

CLARIFY: Human-Powered Training of SMT Models.

Darren Scott Appling, Ellen Yi-Luen Do

Proceedings of the Agents that Learn from Human Teachers, 2009

2008

Improving statistical machine translation by paraphrasing the training data.

Francis Bond, Eric Nichols, Darren Scott Appling, Michael Paul

Proceedings of the 2008 International Workshop on Spoken Language Translation, 2008

2007

Combining resources for open source machine translation.

Eric Nichols, Francis Bond, Darren Scott Appling, Yuji Matsumoto

Proceedings of the 11th Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages: Papers, 2007

Translating conversational speech to standard linguistic form.

Darren Scott Appling, Nick Campbell

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007