{
    "paper_id": "U07-1001",
    "header": {
        "generated_with": "S2ORC 1.0.0",
        "date_generated": "2023-01-19T03:08:58.382999Z"
    },
    "title": "Text Mining Techniques for Building a Biolexicon",
    "authors": [
        {
            "first": "Sophia",
            "middle": [],
            "last": "Ananiadou",
            "suffix": "",
            "affiliation": {
                "laboratory": "",
                "institution": "The University of Manchester",
                "location": {}
            },
            "email": "sophia.ananiadou@manchester.ac.uk"
        }
    ],
    "year": "",
    "venue": null,
    "identifiers": {},
    "abstract": "My talk will focus on building a biolexicon by leveraging existing bio-resources, combining them within a common, standardized lexical, terminological, conceptual representation framework and employing advanced NL technologies to discover new terms, concepts, relations and linguistic lexical information from text. In particular I will discuss term normalisation techniques, named entity recognition and a smart dictionary look up. This research forms part of the National Centre for Text Mining (www.nactem.ac.uk) and the project BOOTStrep.",
    "pdf_parse": {
        "paper_id": "U07-1001",
        "_pdf_hash": "",
        "abstract": [
            {
                "text": "My talk will focus on building a biolexicon by leveraging existing bio-resources, combining them within a common, standardized lexical, terminological, conceptual representation framework and employing advanced NL technologies to discover new terms, concepts, relations and linguistic lexical information from text. In particular I will discuss term normalisation techniques, named entity recognition and a smart dictionary look up. This research forms part of the National Centre for Text Mining (www.nactem.ac.uk) and the project BOOTStrep.",
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                "section": "Abstract",
                "sec_num": null
            }
        ],
        "body_text": [],
        "back_matter": [],
        "bib_entries": {},
        "ref_entries": {}
    }
}