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{
    "pk": 27111,
    "title": "Evaluating vector-space models of analogy",
    "subtitle": null,
    "abstract": "Vector-space representations provide geometric tools for rea-soning about the similarity of a set of objects and their relation-ships. Recent machine learning methods for deriving vector-space embeddings of words (e.g., word2vec) have achievedconsiderable success in natural language processing. Thesevector spaces have also been shown to exhibit a surprising ca-pacity to capture verbal analogies, with similar results for nat-ural images, giving new life to a classic model of analogies asparallelograms that was first proposed by cognitive scientists.We evaluate the parallelogram model of analogy as applied tomodern word embeddings, providing a detailed analysis of theextent to which this approach captures human relational sim-ilarity judgments in a large benchmark dataset. We find thatthat some semantic relationships are better captured than oth-ers. We then provide evidence for deeper limitations of the par-allelogram model based on the intrinsic geometric constraintsof vector spaces, paralleling classic results for first-order simi-larity.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "analogy; word2vec; GloVe; vector space models"
        }
    ],
    "section": "Posters: Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/7pq7695p",
    "frozenauthors": [
        {
            "first_name": "Dawn",
            "middle_name": "",
            "last_name": "Chen",
            "name_suffix": "",
            "institution": "University of California, Berkeley",
            "department": ""
        },
        {
            "first_name": "Joshua",
            "middle_name": "C.",
            "last_name": "Peterson",
            "name_suffix": "",
            "institution": "University of California, Berkeley",
            "department": ""
        },
        {
            "first_name": "Thomas",
            "middle_name": "L.",
            "last_name": "Griffiths",
            "name_suffix": "",
            "institution": "University of California, Berkeley",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2017-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27111/galley/16747/download/"
        }
    ]
}