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User-annotated microtext data for modeling and analyzing users' sociolinguistic characteristics and age grading.

, , and . RCIS, page 1-6. IEEE, (2014)

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Learning eye movement patterns for characterization of perceptual expertise., , , , and . ETRA, page 393-396. ACM, (2012)An Expert-in-the-loop Paradigm for Learning Medical Image Grouping., , , , , , and . PAKDD (1), volume 9651 of Lecture Notes in Computer Science, page 477-488. Springer, (2016)Modeling Word Importance in Conversational Transcripts: Toward improved live captioning for Deaf and hard of hearing viewers., , , and . W4A, page 79-83. ACM, (2023)Emotions from Text: Machine Learning for Text-based Emotion Prediction., , and . HLT/EMNLP, page 579-586. The Association for Computational Linguistics, (2005)Computational Integration of Human Vision and Natural Language through Bitext Alignment., , , , and . VL@EMNLP, page 4-5. Association for Computational Linguistics, (2015)Emotional Sequencing and Development in Fairy Tales., and . ACII, volume 3784 of Lecture Notes in Computer Science, page 668-674. Springer, (2005)SNAG: Spoken Narratives and Gaze Dataset., , , and . ACL (2), page 132-137. Association for Computational Linguistics, (2018)Sensor-based Methodological Observations for Studying Online Learning., , , , , , and . SmartLearn@IUI, page 25-30. ACM, (2017)Invisible AI-driven HCI Systems - When, Why and How., , , , , and . NordiCHI, page 130:1-130:3. ACM, (2020)Sensing and Learning Human Annotators Engaged in Narrative Sensemaking., , , , and . NAACL-HLT (Student Research Workshop), page 136-143. Association for Computational Linguistics, (2018)