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Evaluating spoken dialogue agents with PARADISE: Two case studies.

, , , and . Comput. Speech Lang., 12 (4): 317-347 (1998)

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Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems., , , and . LREC, European Language Resources Association, (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)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)From novice to expert: the effect of tutorials on user expertise with spoken dialogue systems., , and . ICSLP, ISCA, (1998)ArgRewrite: A Web-based Revision Assistant for Argumentative Writings., , , and . HLT-NAACL Demos, page 37-41. The Association for Computational Linguistics, (2016)Extracting Constraints on Word Usage from Large Text Corpora., , and . HLT, Morgan Kaufmann, (1992)Differences in User Responses to a Wizard-of-Oz versus Automated System., and . HLT-NAACL, page 796-801. The Association for Computational Linguistics, (2013)Identifying User Corrections Automatically in Spoken Dialogue Systems., , and . NAACL, The Association for Computational Linguistics, (2001)Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT., and . FLAIRS, (2021)