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{
    "pk": 29189,
    "title": "A tool to analyze verb phrase and noun phrase relationship in sentences",
    "subtitle": null,
    "abstract": "SPACY is a well-known package for NLP analysis for delineating the Verb phrases and Direct Objects in English byapplying the default structures to define noun phrase. However, SPACY lacks a function to include the status of adjectivesand vast amount of noun phrase structures for identifying the relationship between Verbs and Nouns efficiently. Thepresent study develops a SPACY-based program to customize practical noun phrase structures written in industrial SOPsfor machine operations. It performs better at merging overlapping structures, for example, a sentence An important thingof NLP is hard to define can be processed to be An important thing, NLP, thing of NLP; and then automatically mergedinto one noun phrase An important thing of NLP. The capacity of the program can abstract the core concepts of sentencesand recognize the co-occurrences of noun phrases and their associated verbs from the corpus for research and applicationpurposes.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Member Abstracts",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/7dv772tk",
    "frozenauthors": [
        {
            "first_name": "Te-En",
            "middle_name": "",
            "last_name": "Huang",
            "name_suffix": "",
            "institution": "National Cheng Kung University",
            "department": ""
        },
        {
            "first_name": "Tao-Hsing",
            "middle_name": "",
            "last_name": "Chang",
            "name_suffix": "",
            "institution": "National Kaohsiung University of Science and Technology",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2019-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29189/galley/19060/download/"
        }
    ]
}