activity
20212026
most citedProbing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case

6 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC20261 cited

State of the Art of LLM-Enabled Interaction with Visualization

Mathis Brossier, Tobias Isenberg, Konrad Schönborn +5

We report on a systematic, PRISMA-guided survey of research at the intersection of LLMs and visualization, with a particular focus on visio-verbal interaction -- where verbal and v…

cs.HC2026

Piloting Planetarium Visualizations with LLMs during Live Events in Science Centers

Mathis Brossier, Mujtaba Fadhil Jawad, Emma Broman +8

We designed and evaluated an AI pilot in a planetarium visualization software, OpenSpace, for public shows in science centers. The piloting role is usually given to a human working…

cs.FL2023

Generating Semantic Graph Corpora with Graph Expansion Grammar

Eric Andersson, Johanna Björklund, Frank Drewes +1

We introduce Lovelace, a tool for creating corpora of semantic graphs. The system uses graph expansion grammar as a representational language, thus allowing users to craft a gramma…

cs.FL2021

Polynomial Graph Parsing with Non-Structural Reentrancies

Johanna Björklund, Frank Drewes, Anna Jonsson

Graph-based semantic representations are valuable in natural language processing, where it is often simple and effective to represent linguistic concepts as nodes, and relations as…

cs.LG20216 cited

Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case

Adam Dahlgren Lindström, Suna Bensch, Johanna Björklund +1

Semantic embeddings have advanced the state of the art for countless natural language processing tasks, and various extensions to multimodal domains, such as visual-semantic embedd…