Article Instance

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{
    "pk": 26853,
    "title": "Word Embedding Distance Does not Predict Word Reading Time",
    "subtitle": null,
    "abstract": "It has been claimed that larger semantic distance between thewords of a sentence, as quantified by a distributional seman-tics model, increases both N400 size and word-reading time.The current study shows that the reading-time effect disap-pears when word surprisal is factored out, suggesting that theearlier findings were caused by a confound between semanticdistance and surprisal. This absence of a behavioural effectof semantic distance (in the presence of a strong neurophysi-ological effect) may be due to methodological differences be-tween eye-tracking and EEG experiments, but it can also beinterpreted as evidence that eye movements are optimized forreading efficiency.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "reading; eye tracking; N400; distributional seman-tics; semantic distance; word surprisal"
        }
    ],
    "section": "Talks: Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/26n4d54c",
    "frozenauthors": [
        {
            "first_name": "Stefan",
            "middle_name": "L.",
            "last_name": "Frank",
            "name_suffix": "",
            "institution": "Radboud University",
            "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/26853/galley/16489/download/"
        }
    ]
}