Sem Park
Cytowane przez
Cytowane przez
Computational analysis of persuasiveness in social multimedia: A novel dataset and multimodal prediction approach
S Park, HS Shim, M Chatterjee, K Sagae, LP Morency
Proceedings of the 16th International Conference on Multimodal Interaction …, 2014
TAME: Time-varying affective response for humanoid robots
L Moshkina, S Park, RC Arkin, JK Lee, HR Jung
International Journal of Social Robotics 3 (3), 207-221, 2011
Crowdsourcing micro-level multimedia annotations: The challenges of evaluation and interface
S Park, G Mohammadi, R Artstein, LP Morency
Proceedings of the ACM multimedia 2012 workshop on Crowdsourcing for …, 2012
Toward crowdsourcing micro-level behavior annotations: The challenges of interface, training, and generalization
S Park, P Shoemark, LP Morency
Proceedings of the 19th international conference on Intelligent User …, 2014
Who is persuasive? The role of perceived personality and communication modality in social multimedia
G Mohammadi, S Park, K Sagae, A Vinciarelli, LP Morency
Proceedings of the 15th ACM on International conference on multimodal …, 2013
Paraphrase diversification using counterfactual debiasing
S Park, S Hwang, F Chen, J Choo, JW Ha, S Kim, J Yim
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6883-6891, 2019
Mutual behaviors during dyadic negotiation: Automatic prediction of respondent reactions
S Park, S Scherer, J Gratch, P Carnevale, LP Morency
2013 Humaine Association Conference on Affective Computing and Intelligent …, 2013
A scalable neural shortlisting-reranking approach for large-scale domain classification in natural language understanding
YB Kim, D Kim, JK Kim, R Sarikaya
NAACL 2018, 2018
I already know your answer: Using nonverbal behaviors to predict immediate outcomes in a dyadic negotiation
S Park, J Gratch, LP Morency
Proceedings of the 14th ACM international conference on Multimodal …, 2012
Learning context-dependent label permutations for multi-label classification
J Nam, YB Kim, EL Mencia, S Park, R Sarikaya, J Fürnkranz
ICML 2019, 2019
Combining two perspectives on classifying multimodal data for recognizing speaker traits
M Chatterjee, S Park, LP Morency, S Scherer
Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015
Recognizing nonverbal affective behavior in humanoid robots
S Park, L Moshkina, RC Arkina
Intelligent Autonomous Systems 11, 12, 2010
Prediction of strategy and outcome as negotiation unfolds by using basic verbal and behavioral features.
E Nouri, S Park, S Scherer, J Gratch, PJ Carnevale, LP Morency, ...
INTERSPEECH, 1458-1461, 2013
Multimodal analysis and prediction of persuasiveness in online social multimedia
S Park, HS Shim, M Chatterjee, K Sagae, LP Morency
ACM Transactions on Interactive Intelligent Systems (TiiS) 6 (3), 1-25, 2016
Verbal behaviors and persuasiveness in online multimedia content
M Chatterjee, S Park, HS Shim, K Sagae, LP Morency
Proceedings of the Second Workshop on Natural Language Processing for Social …, 2014
A scalable framework for learning from implicit user feedback to improve natural language understanding in large-scale conversational AI systems
S Park, H Li, A Patel, S Mudgal, S Lee, YB Kim, S Matsoukas, R Sarikaya
EMNLP 2021, 2020
Acoustic and para-verbal indicators of persuasiveness in social multimedia
HS Shim, S Park, M Chatterjee, S Scherer, K Sagae, LP Morency
2015 IEEE international conference on acoustics, speech and signal …, 2015
I can already guess your answer: Predicting respondent reactions during dyadic negotiation
S Park, S Scherer, J Gratch, PJ Carnevale, LP Morency
IEEE Transactions on Affective Computing 6 (2), 86-96, 2015
Mood as an affective component for robotic behavior with continuous adaptation via Learning Momentum
S Park, L Moshkina, RC Arkin
2010 10th IEEE-RAS International Conference on Humanoid Robots, 340-345, 2010
Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration
H Li, S Park, A Dara, J Nam, S Lee, YB Kim, S Matsoukas, R Sarikaya
arXiv preprint arXiv:2103.03373, 2021
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