@inproceedings{naber-etal-2025-evaluating,
    title = "Evaluating Textual and Visual Semantic Neighborhoods of Abstract and Concrete Concepts",
    author = "Naber, Sven  and
      Frassinelli, Diego  and
      Schulte Im Walde, Sabine",
    editor = "Frermann, Lea  and
      Stevenson, Mark",
    booktitle = "Proceedings of the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025)",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/name-variant-v-g-vinod-vydiswaran/2025.starsem-1.11/",
    doi = "10.18653/v1/2025.starsem-1.11",
    pages = "142--151",
    ISBN = "979-8-89176-340-1",
    abstract = "This paper presents a systematic evaluation of nearest neighbors across semantic representation spaces in both textual and visual modalities. We focus on nominal concepts with varying concreteness levels, and apply a neighborhood overlap measure to compare these target concepts differing in their linguistic and perceptual nature. We find that alignment is primarily determined by modality, and additionally by level of concreteness: Models from the same modality show stronger alignment than cross-modal models, and spaces of concrete concepts show stronger alignment than those of abstract ones. Overall, larger neighborhood size strengthens the alignment between spaces."
}