On the limited memory BFGS method for large scale optimization
Mathematical Programming: Series A and B
Language and the Internet
Establishing and maintaining long-term human-computer relationships
ACM Transactions on Computer-Human Interaction (TOCHI)
Predicting student emotions in computer-human tutoring dialogues
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Primitives-based evaluation and estimation of emotions in speech
Speech Communication
IHC '06 Proceedings of VII Brazilian symposium on Human factors in computing systems
Balancing Cognitive and Motivational Scaffolding in Tutorial Dialogue
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Can a Polite Intelligent Tutoring System Lead to Improved Learning Outside of the Lab?
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Coordination in conversation and rapport
EmbodiedNLP '07 Proceedings of the Workshop on Embodied Language Processing
Reactive redundancy and listener comprehension in direction-giving
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Polite web-based intelligent tutors: Can they improve learning in classrooms?
Computers & Education
Relational agents improve engagement and learning in science museum visitors
IVA'11 Proceedings of the 10th international conference on Intelligent virtual agents
IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents
Which system differences matter?: using l1/l2 regularization to compare dialogue systems
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
Structured sparsity in structured prediction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Rudeness and rapport: insults and learning gains in peer tutoring
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification
IEEE Transactions on Affective Computing
Historical analysis of legal opinions with a sparse mixed-effects latent variable model
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
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One challenge of implementing spoken dialogue systems for long-term interaction is how to adapt the dialogue as user and system become more familiar. We believe this challenge includes evoking and signaling aspects of long-term relationships such as rapport. For tutoring systems, this may additionally require knowing how relationships are signaled among non-adult users. We therefore investigate conversational strategies used by teenagers in peer tutoring dialogues, and how these strategies function differently among friends or strangers. In particular, we use annotated and automatically extracted linguistic devices to predict impoliteness and positivity in the next turn. To take into account the sparse nature of these features in real data we use models including Lasso, ridge estimator, and elastic net. We evaluate the predictive power of our models under various settings, and compare our sparse models with standard non-sparse solutions. Our experiments demonstrate that our models are more accurate than non-sparse models quantitatively, and that teens use unexpected kinds of language to do relationship work such as signaling rapport, but friends and strangers, tutors and tutees, carry out this work in quite different ways from one another.