Browsing by Subject "Natural language processing"

Now showing items 1-8 of 8

    • Chart Question Answering: State of the Art and Future Directions 

      Hoque, Enamul; Kavehzadeh, Parsa; Masry, Ahmed (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Information visualizations such as bar charts and line charts are very common for analyzing data and discovering critical insights. Often people analyze charts to answer questions that they have in mind. Answering such ...

    • A Conversational Data Visualisation Platform for Hierarchical Multivariate Data 

      Kavaz, Ecem; Rodríguez, Inmaculada; Puig, Anna; Vives, Eduard (The Eurographics Association, 2023)
      This paper presents a novel data visualisation platform that integrates both direct manipulation and conversational interaction styles for analysing hierarchical multivariate data. The proposed architecture is based on the ...

    • Emergence in the Expressive Machine 

      Dekker, Laura (The Eurographics Association, 2019)
      The ''Expressive Machine'' is a series of interactive artworks which explore a machine's-eye view of the world. The machine- an assemblage of hardware and software-provokes sensual interaction with viewer-participants, ...

    • Generating Parametric BRDFs from Natural Language Descriptions 

      Memery, Sean; Cedron, Osmar; Subr, Kartic (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Artistic authoring of 3D environments is a laborious enterprise that also requires skilled content creators. There have been impressive improvements in using machine learning to address different aspects of generating 3D ...

    • LexiCrowd: A Learning Paradigm towards Text to Behaviour Parameters for Crowds 

      Lemonari, Marilena; Andreou, Nefeli; Pelechano, Nuria; Charalambous, Panayiotis; Chrysanthou, Yiorgos (The Eurographics Association, 2024)
      Creating believable virtual crowds, controllable by high-level prompts, is essential to creators for trading-off authoring freedom and simulation quality. The flexibility and familiarity of natural language in particular, ...

    • LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity 

      Arunkumar, Anjana; Sharma, Shubham; Agrawal, Rakhi; Chandrasekaran, Sriram; Bryan, Chris (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Cross-task generalization is a significant outcome that defines mastery in natural language understanding. Humans show a remarkable aptitude for this, and can solve many different types of tasks, given definitions in the ...

    • Towards Visualisation Specifications from Multilingual Natural Language Queries using Large Language Models 

      Hutchinson, Maeve; Slingsby, Aidan; Jianu, Radu; Madhyastha, Pranava (The Eurographics Association, 2023)
      In this paper, we present an empirical demonstration of a prompt-based learning approach, which utilizes pre-trained Large Language Models to generate visualization specifications from user queries expressed in natural ...

    • Visual Exploration of Indirect Bias in Language Models 

      Louis-Alexandre, Judith; Waldner, Manuela (The Eurographics Association, 2023)
      Language models are trained on large text corpora that often include stereotypes. This can lead to direct or indirect bias in downstream applications. In this work, we present a method for interactive visual exploration ...