{
    "paper_id": "C69-1100",
    "header": {
        "generated_with": "S2ORC 1.0.0",
        "date_generated": "2023-01-19T12:32:25.745243Z"
    },
    "title": "",
    "authors": [],
    "year": "",
    "venue": null,
    "identifiers": {},
    "abstract": "",
    "pdf_parse": {
        "paper_id": "C69-1100",
        "_pdf_hash": "",
        "abstract": [],
        "body_text": [],
        "back_matter": [
            {
                "text": "The authors express their acknowledgement to H. DeFrancesco~ G. Dunham and M. Epstein for their significant contributions to the paper.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Acknowledgement",
                "sec_num": null
            },
            {
                "text": "In this paper the development of a system for automated processing of medical English is investigated. The parsing algorithms for morphological~ syntactic and semantic analysis of medical diagnoses are described. The immediate objective of this research is the automatic encoding of pathology data. The long-range goal of the system is its expansion and application to general medical text.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Abstract",
                "sec_num": null
            }
        ],
        "bib_entries": {},
        "ref_entries": {}
    }
}