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{
    "pk": 27933,
    "title": "Preserved Structure Across Vector Space Representations",
    "subtitle": null,
    "abstract": "Certain concepts, words, and images are intuitively more sim-ilar than others (dog vs. cat, dog vs. spoon), though quantify-ing such similarity is notoriously difficult. Indeed, this kindof computation is likely a critical part of learning the categoryboundaries for words within a given language. Here, we usea set of 27 items (e.g. ‘dog’) that are highly common in in-fants’ input, and use both image- and word-based algorithmsto independently compute similarity among them. We findthree key results. First, the pairwise item similarities derivedwithin image-space and word-space are correlated, suggest-ing preserved structure among these extremely different rep-resentational formats. Second, the closest ‘neighbors’ for eachitem, within each space, showed significant overlap (e.g. bothfound ‘egg’ as a neighbor of ‘apple’). Third, items with themost overlapping neighbors are later-learned by infants andtoddlers. We conclude that this approach, which does not relyon human ratings of similarity, may nevertheless reflect stablewithin-class structure across these two spaces. We speculatethat such invariance might aid lexical acquisition, by servingas an informative marker of category boundaries.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "vector space models; semantic similarity; word learning"
        }
    ],
    "section": "Publication-based-Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/4n15n2d8",
    "frozenauthors": [
        {
            "first_name": "Andrei",
            "middle_name": "",
            "last_name": "Amatuni",
            "name_suffix": "",
            "institution": "Duke",
            "department": ""
        },
        {
            "first_name": "Estelle",
            "middle_name": "",
            "last_name": "He",
            "name_suffix": "",
            "institution": "Duke",
            "department": ""
        },
        {
            "first_name": "Elika",
            "middle_name": "",
            "last_name": "Bergelson",
            "name_suffix": "",
            "institution": "Duke",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2018-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27933/galley/17571/download/"
        }
    ]
}