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Representation Problems in Linguistic Annotations: Ambiguity, Variation, Uncertainty, Error and Bias

C. Beck, H. Booth, M. El-Assady, and M. Butt. Proceedings of the 14th Linguistic Annotation Workshop, page 60--73. Barcelona, Spain, Association for Computational Linguistics, (December 2020)

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Ahmed Elkelesh University of Stuttgart

Florian Elben University of Stuttgart

Inaam El-Rajab University of Stuttgart

Diellza Elshani University of Stuttgart

Martina Ellinger University of Stuttgart

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Analyzing Visual Mappings of Traditional and Alternative Music Notation.M. Miller, J. Häußler, M. Kraus, D. Keim, and M. El-Assady. CoRR, (2018)ConToVi: Multi-Party Conversation Exploration using Topic-Space Views.M. El-Assady, V. Gold, C. Acevedo, C. Collins, and D. Keim. Comput. Graph. Forum, 35 (3): 431-440 (2016)Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution.M. El-Assady, F. Sperrle, O. Deussen, D. Keim, and C. Collins. IEEE Trans. Vis. Comput. Graph., 25 (1): 374-384 (2019)Exploratory Text Analysis using Lexical Episode Plots.V. Gold, C. Rohrdantz, and M. El-Assady. EuroVis (Short Papers), page 85-89. Eurographics Association, (2015)NEREx: Named-Entity Relationship Exploration in Multi-Party Conversations.M. El-Assady, R. Sevastjanova, B. Gipp, D. Keim, and C. Collins. Comput. Graph. Forum, 36 (3): 213-225 (2017)Visual Analytics of Conversational Dynamics.D. Seebacher, M. Fischer, R. Sevastjanova, D. Keim, and M. El-Assady. EuroVA@EuroVis, page 83-87. Eurographics Association, (2019)Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections.M. El-Assady, R. Kehlbeck, C. Collins, D. Keim, and O. Deussen. CoRR, (2019)VIANA: Visual Interactive Annotation of Argumentation.F. Sperrle, R. Sevastjanova, R. Kehlbeck, and M. El-Assady. CoRR, (2019)LTMA: Layered Topic Matching for the Comparative Exploration, Evaluation, and Refinement of Topic Modeling ResultsM. El-Assady, F. Sperrle, R. Sevastjanova, M. Sedlmair, and D. Keim. Proceedings of the International Symposium on Big Data Visual and Immersive Analytics (BDVA), page 1-10. IEEE, (2018)Generative Data Models for Validation and Evaluation of Visualization TechniquesC. Schulz, A. Nocaj, M. El-Assady, S. Frey, M. Hlawatsch, M. Hund, G. Karch, R. Netzel, C. Schätzle, M. Butt and 4 other author(s). BELIV '16: Beyond Time And Errors: Novel Evaluation Methods For Visualization, (2016)