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{
    "pk": 31678,
    "title": "Non-deterministic Prepositional phrase Attachment",
    "subtitle": null,
    "abstract": "Existing models of sentence comprehension typically\nadopt a deterministic approach that decides on the\ncorrect parse of a sentence. In essence, these models\nconsist of algorithms that statically capture a priori\nrules for disambiguation and seldom take into account\nthe context of interpretation. Also, their deterministic\nnature eliminates the possibility of recognizing a\ngenuine ambiguity. We argue that the very essence of\nthe quantitative model of memory we have developed,\nthat is, its time-constrained nature, allows for a non-\ndeterministic contextual approach to structural\ndisambiguation. In this paper, w e focus specifically\non the problem of PP (Prepositional Phrase)\nAttachment. More precisely, w e contend that a\nsolution to this problem depends on the use of both a\nmassively parallel time-constrained architecture and a\nquantitatively-defined context.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Submitted Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/2sq8v0qg",
    "frozenauthors": [
        {
            "first_name": "Jean-Pierre",
            "middle_name": "",
            "last_name": "Corriveau",
            "name_suffix": "",
            "institution": "Carleton University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1993-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31678/galley/22746/download/"
        }
    ]
}