Feature selection, L1 vs. L2 regularization, and rotational invariance
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A fast learning algorithm for deep belief nets
Neural Computation
Extracting social meaning: identifying interactional style in spoken conversation
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Using linguistic cues for the automatic recognition of personality in conversation and text
Journal of Artificial Intelligence Research
Comparing support vector machines with Gaussian kernels to radialbasis function classifiers
IEEE Transactions on Signal Processing
Relevance and ranking in online dating systems
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Unsupervised modeling of Twitter conversations
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A game-theoretic model of metaphorical bargaining
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Prototyping dynamics: sharing multiple designs improves exploration, group rapport, and results
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Language use: what can it tell us?
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
CMCL '11 Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Detecting F-formations as dominant sets
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Unsupervised modeling of dialog acts in asynchronous conversations
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
An unsupervised dynamic Bayesian network approach to measuring speech style accommodation
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Dialogue act recognition using reweighted speaker adaptation
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Proceedings of the 15th ACM on International conference on multimodal interaction
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Automatically detecting human social intentions from spoken conversation is an important task for dialogue understanding. Since the social intentions of the speaker may differ from what is perceived by the hearer, systems that analyze human conversations need to be able to extract both the perceived and the intended social meaning. We investigate this difference between intention and perception by using a spoken corpus of speed-dates in which both the speaker and the listener rated the speaker on flirtatiousness. Our flirtation-detection system uses prosodic, dialogue, and lexical features to detect a speaker's intent to flirt with up to 71.5% accuracy, significantly outperforming the baseline, but also outperforming the human inter-locuters. Our system addresses lexical feature sparsity given the small amount of training data by using an autoencoder network to map sparse lexical feature vectors into 30 compressed features. Our analysis shows that humans are very poor perceivers of intended flirtatiousness, instead often projecting their own intended behavior onto their interlocutors.