IMAGINE: Improving Multi-modal lAnguage Generation wIth world kNowledgE is a research project which main goal is to investigate how to incorporate world knowledge into vision & language tasks within natural language generation. I am a Marie Skwodówska-Curie Global Fellow.

I spent ~2 years in New York University’s Courant Institute for Mathematical Sciences where I worked with Kyunghyun Cho. I am physically in Amsterdam, and the project is implemented at the Institute for Logic, Language and Computation (ILLC) in the University of Amsterdam, where I work with Raquel Fernández.

Concretely, I investigate how to:

  • Gather world-knowledge (semi-)automatically from publicly available multi-modal knowledge bases.
  • Learn representations for a knowledge base that encompasses both text and images.
  • Integrate this knowledge into multi-modal language generation tasks, such as multi-modal machine translation, visual question answering and image description generation.

Please get in touch with you would like to collaborate on any of these research topics!

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