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{
    "pk": 26810,
    "title": "Inferential Role Semantics for Natural Language",
    "subtitle": null,
    "abstract": "Cognitive models have long been used to study linguistic phe-nomena spanning the domains of phonology, syntax, and se-mantics. Of these domains, semantics is somewhat unique inthat there is little clarity concerning what a model needs to beable to do in order to provide an account of how the mean-ings of complex linguistic expressions, such as sentences, areunderstood. To help address this problem, we introduce a tree-structured neural model that is trained to generate further sen-tences that follow from an input sentence. These further sen-tences chart out the “inferential role” of the input sentence,which we argue constitutes an important part of its meaning.The model is trained using the Stanford Natural Language In-ference (SNLI) dataset, and to evaluate its performance, we re-port entailment prediction accuracies on a set of test sentencesnot present in the training data. We also report the results of asimple study that compares human plausibility ratings for bothground-truth and model-generated entailments for a randomselection of sentences in this test set. Finally, we examine anumber of qualitative features of the model’s ability to gener-alize. Taken together, these analyses indicate that our modelis able to accurately account for important inferential relation-ships amongst linguistic expressions.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "natural language inference; recursive neural net-works; language comprehension; semantics"
        }
    ],
    "section": "Talks: Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/8sd7r6w6",
    "frozenauthors": [
        {
            "first_name": "Peter",
            "middle_name": " ",
            "last_name": "Blouw",
            "name_suffix": "",
            "institution": "University of Waterloo",
            "department": ""
        },
        {
            "first_name": "Chris",
            "middle_name": "",
            "last_name": "Eliasmith",
            "name_suffix": "",
            "institution": "University of Waterloo",
            "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/26810/galley/16446/download/"
        }
    ]
}