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Beetle-Grow: An Effective Intelligent Tutoring System for Data Collection., , and . L@S, page 177-180. ACM, (2016)The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications., , and . Lang. Resour. Evaluation, 50 (1): 67-93 (2016)Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System., , and . J. Log. Comput., 18 (3): 405-430 (2008)The Beetle and BeeDiff tutoring systems., , , , , and . SLaTE, page 92-95. Carnegie Mellon University / ISCA, (2007)TFLEX: Speeding Up Deep Parsing with Strategic Pruning., and . IWPT, page 194-195. Association for Computational Linguistics, (2005)Human - Robot Interaction: Engagement between Humans and Robots for Hosting Activities., and . ICMI, page 123-128. IEEE Computer Society, (2002)The "DeMAND" coding scheme: A "common language" for representing and analyzing student discourse., , , , , and . AIED, volume 200 of Frontiers in Artificial Intelligence and Applications, page 665-667. IOS Press, (2009)Combining Semantic Interpretation and Statistical Classification for Improved Explanation Processing in a Tutorial Dialogue System., , and . AIED, volume 7926 of Lecture Notes in Computer Science, page 279-288. Springer, (2013)Chester: Towards a personal medication advisor., , , , , , , and . J. Biomed. Informatics, 39 (5): 500-513 (2006)Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques., , , , , and . HLT-NAACL (Demonstrations), page 5-6. The Association for Computational Linguistics, (2007)