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Abstractive Summarization for Low Resource Data Using Domain Transfer and Data Synthesis.

, and . FLAIRS, page 240-245. AAAI Press, (2020)

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The relative impact of student affect on performance models in a spoken dialogue tutoring system., , and . User Model. User-Adapt. Interact., 18 (1-2): 11-43 (2008)When Does Disengagement Correlate with Learning in Spoken Dialog Computer Tutoring?, and . AIED, volume 6738 of Lecture Notes in Computer Science, page 81-89. Springer, (2011)Illustrations or Graphs: Some Students Benefit from One over the Other., and . AIED, volume 7926 of Lecture Notes in Computer Science, page 746-749. Springer, (2013)Exploiting Word-level Features for Emotion Prediction., , and . SLT, page 110-113. IEEE, (2006)Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems., , , and . LREC, European Language Resources Association, (2008)A Reinforcement Learning approach to evaluating state representations in spoken dialogue systems., and . Speech Commun., 50 (8-9): 683-696 (2008)Evaluating Topic-Word Review Analysis for Understanding Student Peer Review Performance., and . EDM, page 200-207. International Educational Data Mining Society, (2013)Assessing Reviewer's Performance Based on Mining Problem Localization in Peer-Review Data., , and . EDM, page 211-220. www.educationaldatamining.org, (2010)Iterative Design and Classroom Evaluation of Automated Formative Feedback for Improving Peer Feedback Localization., , and . Int. J. Artif. Intell. Educ., 27 (3): 582-622 (2017)Learning from Auxiliary Sources in Argumentative Revision Classification., and . AIED (Posters/Late Breaking Results/...), volume 1831 of Communications in Computer and Information Science, page 272-277. Springer, (2023)