Article Instance

HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
    "pk": 32976,
    "title": "Strong Systematicity within Connectionism: The Tensor-Recurrent Network",
    "subtitle": null,
    "abstract": "Systematicity, the ability to represent and process stnicturally related objects, is a significant and pervasive property of cognitive behaviour, and clearly evident in language. In the case of Connectionist models that leam from examples, systematicity is generalization over examples sharing a conmion structure. Although Connectionist models (e.g., the recurrent network and its variants) have demonstrated generalization over structured domains, there has not been a clear demonstration of strong systematicity (i.e., generalization across syntactic position). The tensor has been proposed as a way of representing structured objects, however, there has not been an effective learning mechanism (in the strongly systematic sense) to explain how these representations may be acquired. I address this issue through an analysis of tensor learning dynamics. These ideas are then implemented as the tensor-recurrent network which is shown to exhibit strong systematicity on a simple language task. Finally, it is suggested that the properties of the tensor-recurrent network that give rise to strong systematicity are analogous to the concepts of variables and types in the Classical paradigm.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Refereed Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/0rp960zk",
    "frozenauthors": [
        {
            "first_name": "Steven",
            "middle_name": "",
            "last_name": "Phillips",
            "name_suffix": "",
            "institution": "The University of Queensland",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1994-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/32976/galley/24037/download/"
        }
    ]
}