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Visual and Spatial Factors in a Bayesian Reasoning Framework for the Recognition of Intended Messages in Grouped Bar Charts.

, , and . Visual Representations and Reasoning, volume WS-10-07 of AAAI Technical Report, AAAI, (2010)

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Identifying Important Features for Graph Retrieval., , , and . COLING, page 600-609. ACL, (2014)Realizing Expressions of Doubt in Collaborative Dialogue., and . COLING, page 740-746. Morgan Kaufmann, (2000)Analyzing the Effect of Communicative Evidence in a Bayesian System for Grouped Bar Chart Message Recognition., , and . FLAIRS, AAAI Press, (2014)Exploring and Exploiting the Limited Utility of Captions in Recognizing Intention in Information Graphics., , , , , , and . ACL, page 223-230. The Association for Computer Linguistics, (2005)Dialogue Act Tagging with Transformation-Based Learning., , and . COLING-ACL, page 1150-1156. Morgan Kaufmann Publishers / ACL, (1998)Extending Plan Inference Techniques to Recognize Intentions in Information Graphics., , , and . User Modeling, volume 2702 of Lecture Notes in Computer Science, page 122-132. Springer, (2003)Decision Tree Induction for Identifying Trends in Line Graphs., , , and . ISMIS, volume 4994 of Lecture Notes in Computer Science, page 399-409. Springer, (2008)Generating Textual Summaries of Bar Charts., , and . INLG, The Association for Computer Linguistics, (2008)Communication for Conflict Resolution in Multi-Agent Collaborative Planning., and . ICMAS, page 49-56. The MIT Press, (1995)Toward Recognizing and Conveying an Attitude of Doubt via Natural Language., and . Applied Artificial Intelligence, 16 (7-8): 495-517 (2002)