{
    "paper_id": "C69-0200",
    "header": {
        "generated_with": "S2ORC 1.0.0",
        "date_generated": "2023-01-19T12:31:57.453932Z"
    },
    "title": "",
    "authors": [
        {
            "first": "Roger",
            "middle": [
                "C"
            ],
            "last": "Shank",
            "suffix": "",
            "affiliation": {
                "laboratory": "RESEARCH GROUP FOR QUANTI TATIVE LINGUI STICS",
                "institution": "",
                "location": {}
            },
            "email": ""
        },
        {
            "first": "Larry",
            "middle": [],
            "last": "Tesler",
            "suffix": "",
            "affiliation": {
                "laboratory": "RESEARCH GROUP FOR QUANTI TATIVE LINGUI STICS",
                "institution": "",
                "location": {}
            },
            "email": ""
        }
    ],
    "year": "",
    "venue": null,
    "identifiers": {},
    "abstract": "",
    "pdf_parse": {
        "paper_id": "C69-0200",
        "_pdf_hash": "",
        "abstract": [],
        "body_text": [
            {
                "text": "Instead, it is a conceptual parser, concerned with determining the underlying meaning of the input. Given a natural language input, the parser identifies and disambiguates the concepts derivable from that input and places them into a network that explicates their inter-relations with respect to the unambiguous meaning of the input.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "",
                "sec_num": null
            },
            {
                "text": "The parser utilizes a conceptually-oriented dependency grammar that has as its highest level the network which represents the underlying conceptual structure of a linguistic input. The parser also incorporates a language-free semantics that checks all possible conceptual dependencies with its own knowledge of the world.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "",
                "sec_num": null
            },
            {
                "text": "The parser is capable of learning new words and new constructions. It presently has a vocabulary of a few hundred words which enables it to operate in a psychiatric interviewing program without placing any restriction on the linguistic input.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "",
                "sec_num": null
            },
            {
                "text": "The theory behind the conceptual dependency is outlined in this paper and the parsing algorithm is explained in some detail.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "",
                "sec_num": null
            }
        ],
        "back_matter": [
            {
                "text": "This research is supported by Grant PHS MH 066b~5-07 from the National Institute of Mental Health, and (in part) by the Advanced Research Projects Agency of the Office of the Secretary of Defense (SD-183).",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "acknowledgement",
                "sec_num": null
            }
        ],
        "bib_entries": {},
        "ref_entries": {}
    }
}