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{
    "pk": 28654,
    "title": "Representing lexical ambiguity in prototype models of lexical semantics",
    "subtitle": null,
    "abstract": "We show, contrary to some recent claims in the literature, thatprototype distributional semantic models (DSMs) are capa-ble of representing multiple senses of ambiguous words, in-cluding infrequent meanings. We propose that word2vec con-tains a natural, model-internal way of operationalizing the dis-ambiguation process by leveraging the two sets of represen-tations word2vec learns, instead of just one as most workon this model does. We evaluate our approach on artifi-cial language simulations where other prototype DSMs havebeen shown to fail. We furthermore assess whether these re-sults scale to the disambiguation of naturalistic corpus exam-ples. We do so by replacing all instances of sampled pairsof words in a corpus with pseudo-homonym tokens, and test-ing whether models, after being trained on one half of the cor-pus, were able to disambiguate pseudo-homonyms on the ba-sis of their linguistic contexts in the second half of the cor-pus. We observe that word2vec well surpasses the baselineof always guessing the most frequent meaning to be the rightone. Moreover, it degrades gracefully: As words are moreunbalanced, the baseline is higher, and it is harder to surpassit; nonetheless, Word2vec succeeds at surpassing the baseline,even for pseudo-homonyms whose most frequent meaning ismuch more frequent than the other.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "distributed semantic models; word meaning; am-biguity; prototype models; exemplar models; word2vec"
        }
    ],
    "section": "Papers with Poster Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/3v88f307",
    "frozenauthors": [
        {
            "first_name": "Barend",
            "middle_name": "",
            "last_name": "Beekhuizen",
            "name_suffix": "",
            "institution": "University of Toronto, Mississauga",
            "department": ""
        },
        {
            "first_name": "Chen",
            "middle_name": "Xuan",
            "last_name": "Cui",
            "name_suffix": "",
            "institution": "University of Toronto",
            "department": ""
        },
        {
            "first_name": "Suzanne",
            "middle_name": "",
            "last_name": "Stevenson",
            "name_suffix": "",
            "institution": "University of Toronto",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2019-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28654/galley/18525/download/"
        }
    ]
}