Article Instance

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

{
    "pk": 30922,
    "title": "Discovering Faithful 'Wickelfeature' Representations in a Connectionist Network",
    "subtitle": null,
    "abstract": "challenging problem for connectionist models is the representation of varying-length sequences, e.g., the sequence of phonemes that compose a word. One representation that has been proposed involves encoding each sequence element with respect to its local context; this is known as a Wickelfeature representation. Handcrafted Wickelfeature representations suffer from a number of limitations, as pointed out by Pinker and Prince (1988). However, these limitations can be avoided if the representation is constructed with a priori knowledge of the set of possible sequences. This paper proposes a specialized connectionist network architecture and learning algorithm for the discovery of faithful Wickelfeature representations — ones that do not lose critical information about the sequence to be encoded. The architecture is applied to a simplified version of Rumclhart and McCleiland's (1986) verb past-tense model.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Paper Presentations -- Group 2: Language",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/8vd3n76q",
    "frozenauthors": [
        {
            "first_name": "Michael",
            "middle_name": "C.",
            "last_name": "Mozer",
            "name_suffix": "",
            "institution": "University of Colorado",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1990-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/30922/galley/20771/download/"
        }
    ]
}