Let's Figure This Out: A Roadmap for Visual Conceptual Blending
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[1] Gilles Fauconnier,et al. Mental Spaces: Aspects of Meaning Construction in Natural Language , 1985 .
[2] Charles Forceville,et al. Pictorial Metaphor in Advertisements , 1994 .
[3] Gilles Fauconnier,et al. Conceptual Integration Networks , 1998, Cogn. Sci..
[4] G. Fauconnier,et al. The Way We Think , 2002 .
[5] Amílcar Cardoso,et al. The Boat-House Visual Blending Experience , 2002 .
[6] Edward F. McQuarrie,et al. Beyond Visual Metaphor: A New Typology of Visual Rhetoric in Advertising , 2004 .
[7] By Neil Cohn,et al. A Visual Lexicon , 2007 .
[8] Hubert Kowalewski,et al. Conceptual blending and sign formation , 2008 .
[9] John F. Sherry,et al. Conceptual blending in advertising , 2009 .
[10] Margaret K. Hogg,et al. Articulating a New Framework for Visual Metaphors in Advertising , 2011 .
[11] Tony Veale,et al. From Conceptual Mash-ups to Bad-ass Blends: A Robust Computational Model of Conceptual Blending , 2012, ICCC.
[12] Lidia Khmylko. Supervised by : , 1991 .
[13] Amílcar Cardoso,et al. Automated Blend Naming Based on Human Creativity Examples , 2015, ICCBR.
[14] Ping Xiao,et al. Vismantic: Meaning-making with Images , 2015, ICCC.
[15] Penousal Machado,et al. Generation of Concept-Representative Symbols , 2015, ICCBR.
[16] Robinson Piramuthu,et al. ConceptLearner: Discovering visual concepts from weakly labeled image collections , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Alison Pease,et al. Using Argumentation to Evaluate Concept Blends in Combinatorial Creativity , 2015, ICCC.
[18] Penousal Machado,et al. A Distributed Approach to Computational Creativity , 2015, IDC.
[19] Amílcar Cardoso,et al. Seeking Divisions of Domains on Semantic Networks by Evolutionary Bridging , 2015, ICCBR.
[20] Nada Lavrac,et al. The Good, the Bad, and the AHA! Blends , 2015, ICCC.
[21] Nada Lavrac,et al. Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case , 2016, ICCC.
[22] Amílcar Cardoso,et al. Optimality Principles in Computational Approaches to Conceptual Blending: Do We Need Them (at) All? , 2016, ICCC.
[23] Khalid Al-Najjar,et al. Grounded for life: creative symbol-grounding for lexical invention , 2016, Connect. Sci..
[24] Penousal Machado,et al. A Pig, an Angel and a Cactus Walk Into a Blender: A Descriptive Approach to Visual Blending , 2017, ICCC.
[25] Douglas Eck,et al. A Neural Representation of Sketch Drawings , 2017, ICLR.
[26] Penousal Machado,et al. Using Image Schemas in the Visual Representation of Concepts , 2018, TriCoLore.
[27] Penousal Machado,et al. How Shell and Horn make a Unicorn: Experimenting with Visual Blending in Emoji , 2018, ICCC.
[28] Matthew O. Peterson,et al. Aspects of visual metaphor: an operational typology of visual rhetoric for research in advertising , 2019 .
[29] Nuno Lourenço,et al. Emojinating: Evolving Emoji Blends , 2019, EvoMUSART.
[30] Yang Feng,et al. Unsupervised Image Captioning , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Pegah Karimi,et al. A computational model for visual conceptual blends , 2019, IBM J. Res. Dev..
[32] Lydia B. Chilton,et al. Human Errors in Interpreting Visual Metaphor , 2019, Creativity & Cognition.
[33] Simon Colton,et al. Framing In Computational Creativity - A Survey And Taxonomy , 2019, ICCC.
[34] Lydia B. Chilton,et al. VisiBlends: A Flexible Workflow for Visual Blends , 2019, CHI.
[35] Zoe Falomir,et al. Towards a model of creative understanding: deconstructing and recreating conceptual blends using image schemas and qualitative spatial descriptors , 2019, Annals of Mathematics and Artificial Intelligence.
[36] Rynson W. H. Lau,et al. ICONATE: Automatic Compound Icon Generation and Ideation , 2020, CHI.
[37] Introduction PROTOTYPE THEORY, COGNITIVE LINGUISTICS AND PEDAGOGICAL GRAMMAR , 2022 .