Inès Blin

Inès Blin

Research Assistant @SonyCSLParis & Ph.D. Student @VUA

About me

Hi! I am Inès Blin, welcome to my personal website.

I am an industrial Ph.D. student, in collaboration between the Sony Computer Science Laboratories in Paris, France, and between the Vrije Universiteit Amsterdam in the Netherlands. I started my Ph.D. in October 2021, and my background is in Mathematics and Computer Science.
My research centers on bridging neural and symbolic approaches by developing knowledge graphs that encode narrative structure and enable narrative-like functions such as explanation and hypothesis generation. A KG can be seen as a database with entities and connections between them. They capture key elements like events and actors, all in structured, reusable, and machine-interpretable formats.
I have contributed to several initiatives, including the MUHAI project focused on advancing human-centric AI, and an NWO-funded project dedicated to hypothesis discovery and synthesis.


Topics of interest: AI, ML, Knowledge Graphs, Narratives, LLMs, Link Prediction

One of my hobbies is sport, especially running - when I am not injured - and more recently cycling. I am always looking for the nicest route in my surroundings!

Latest News

  • June 2025: Presented our research paper “Automated Hypothesis Generation for Human Cooperation Studiesn” at HHAI.

  • March 2025: Presented ongoing work on “From Symbols to Numbers: Measuring the Impact of Narrative Complexity on Embeddings” at the VU ML seminar.

  • December 2024: Presented my research on “Building Narratives through Structured Representations” at the SciencesPo MediaLab seminar.

  • November 2024: Presented our demo paper “Living Meta-Review Generation for Social Scientists: An Interface and A Case Study on Human Cooperation” at EKAW.

  • November 2024: Presented our paper Structured Representations for Narratives at EKAW.

  • November 2024: We recently organized the final MUHAI event: a tutorial presented at EKAW, offering an overview of our work.

  • November 2024: Giulio Prevedello presented our paper “Lyrics for success: embedding features for song popularity prediction” at NLP4MUSA, co-located with ISMIR.

  • May 2024: Our workshop on Semantic Methods for Events and Stories SEMMES was held during ESWC. The proceedings are out.